{ "results": [ { "id": "953a64d21811c2dff3b0fc935784be8d", "title": "Business Intelligence Manager", "employer_name": "Cisco", "employer_slug": "cisco", "location_text": "New York, New York, US", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142100, "salary_max": 189500, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 142100, "base_salary_max": 189500, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-05-05T00:00:00.000Z", "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/New-York-New-York-US/Business-Intelligence-Manager_2013786", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Manager New York, New York, US The application window is expected to close on: 05/08/2026 Job posting may be removed earlier if the position is filled or if", "parental_leave_weeks": 13, "non_birth_parent_leave_weeks": 13, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": 50, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "8568ee21667cf02353ec53058b0fe4a9", "title": "Security Intelligence Engineer, Amazon Cyber Threat Intelligence", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Herndon, Virginia, USA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 159300, "salary_max": 202400, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 159300, "base_salary_max": 202400, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10411642/security-intelligence-engineer-amazon-cyber-threat-intelligence", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Security Intelligence Engineer, Amazon Cyber Threat Intelligence Herndon, Virginia, USA The Amazon Customer Ecosystems (ACES) team, part of Amazon Cyber Threat Intelligence (ACTI), is responsible for developing actionable intelligence on", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": true, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "801e3b147fb64103c56fc4ce0ec86f52", "title": "Senior Applied Scientist, Neuro-Symbolic AI Labs", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Boston, Massachusetts, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 167100, "salary_max": 226100, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 167100, "base_salary_max": 226100, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10411143/senior-applied-scientist-neuro-symbolic-ai-labs", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning.", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "67fa1203f9970bc4b7df1f604127a7c2", "title": "Senior Software Engineer, Leo Satellite Build Intelligence", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bellevue, Washington, USA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 168100, "salary_max": 227400, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 168100, "base_salary_max": 227400, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": "yes", "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [], "posted_at": "2026-05-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10411736/senior-software-engineer-leo-satellite-build-intelligence", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer, Leo Satellite Build Intelligence Bellevue, Washington, USA Build production AI systems that transform how Amazon manufactures satellites. We are looking for a Senior Software Development Engineer to", "parental_leave_weeks": 20, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "31a32f8f7f48bfac46c5d3e48d07b8aa", "title": "Senior Applications and Solutions Engineer - Foundry Services", "employer_name": "Intel", "employer_slug": "intel", "location_text": "3 Locations", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 122440, "salary_max": 232190, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 122440, "base_salary_max": 232190, "salary_disclosed": true, "equity_included": true, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [], "posted_at": "2026-05-05T00:00:00.000Z", "apply_url": "https://intel.wd1.myworkdayjobs.com/External/job/US-Arizona-Phoenix/Senior-Applications-and-Solutions-Engineer---Foundry-Services_JR0283652", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Applications and Solutions Engineer - Foundry Services 3 Locations Senior Applications and Solutions Engineer - Foundry Services /job/US-Arizona-Phoenix/Senior-Applications-and-Solutions-Engineer---Foundry-Services_JR0283652 3 Locations Posted Yesterday", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 4, "years_experience_max": 9, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": true, "security_clearance": "secret", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "129b7c3e2fd0a4538b67d634e2adcb16", "title": "Senior Manager of Data Engineering & Business Intelligence, Alexa Audio", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 202300, "salary_max": 273700, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 202300, "base_salary_max": 273700, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10411752/senior-manager-of-data-engineering-business-intelligence-alexa-audio", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Manager of Data Engineering & Business Intelligence, Alexa Audio Seattle, Washington, USA Alexa Audio manages the end-to-end customer listening experience for Alexa+ customers worldwide — across all endpoints, in", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 8, "years_experience_max": 9, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "5e4a61482855d4996416614ac8b39ecd", "title": "Regional Intelligence Manager, Compliance, Strategy and Risk Management, Data Centers", "employer_name": "Google", "employer_slug": "google", "location_text": "Clarksville, TN, USA; +2 more", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 111000, "salary_max": 159000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 111000, "base_salary_max": 159000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-05-04T14:31:30.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckagn--XZnMZSkTRo9rGxHzQZschIIpfXqNuR5eKrAVcSEjsACxwdTFixrPMwd_88sQP6nV1phIlWqNRdrk0Fqa2-oFBX-eWnc1OMAIVAhNgic2KZN9DFw_iFpHfxUg%3D%3D_V2&loc=US&title=Regional+Intelligence+Manager", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Regional Intelligence Manager, Compliance, Strategy and Risk Management, Data Centers Clarksville, TN, USA; +2 more As a Data Center Security Manager, you deliver full pieces of a project and make", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": true, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "a2b6bc910dc26c7414faa3b9c9e85db6", "title": "Senior UX Design Manager, Sales Intelligence, Google Ads", "employer_name": "Google", "employer_slug": "google", "location_text": "Mountain View, CA, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 237000, "salary_max": 329000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 237000, "base_salary_max": 329000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-05-04T14:00:39.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckcq3vRaqG3pzPxNW-bleG73xRMS-aN-eUb76f9taawuTEjsACxwdTPkD9aW_3kicOCHp8Dja2mIqPPoNb9bqEBTHPT8RQ9Gw_EFBA87qDAeaFC4jKOqVHqmXKN36Zw%3D%3D_V2&loc=US&title=Senior+UX+Design+Manager", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior UX Design Manager, Sales Intelligence, Google Ads Mountain View, CA, USA At Google, we \"Focus on the user and all else will follow.\" As a UX Design Manager, you", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 10, "years_experience_max": 14, "role_function": "design", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "8a20b1d5aa9ed6fa51de37f420a8df5c", "title": "Technical Program Manager II, Business Intelligence, Devices and Services", "employer_name": "Google", "employer_slug": "google", "location_text": "Mountain View, CA, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 138000, "salary_max": 198000, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 138000, "base_salary_max": 198000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-05-04T13:29:37.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXlgnkHtzF1PsLOJ88lN_uZsjJp2bkyAtHWpjqqSl5EpEjsACxwdTI6SY77L6OoTk97NyYmQP3RbuI2KhLOlKlsuaGmCoz3w4VSjrs5_3hXslVTUMfr4Z0oVBUBqfQ%3D%3D_V2&loc=US&title=Technical+Program+Manager+II", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technical Program Manager II, Business Intelligence, Devices and Services Mountain View, CA, USA A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "53830c6181ec2dddeaac3027a2b3adf3", "title": "Senior Security Analyst, Mandiant Threat Intelligence Services", "employer_name": "Google", "employer_slug": "google", "location_text": "Pennsylvania, USA; +1 more", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 138000, "salary_max": 200000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 138000, "base_salary_max": 200000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-05-04T07:30:36.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZ_QLWu-KwDRvwUHvlz4K12HW0veglCVpkZsbOqRZVONEjsACxwdTO_CRx0G2yEDLudm606v0QN5qetK0DUdgzhG6NgIyCPO4UdKxnzrRlY6SP64p1pkDKmOd6hqzA%3D%3D_V2&loc=US&title=Senior+Security+Analyst", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Security Analyst, Mandiant Threat Intelligence Services Pennsylvania, USA; +1 more Essential Intelligence Access (EIA) is a subscription service that consolidates features from legacy Mandiant services to address cyber threat", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "customer_success", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "f8f33079be087ef77aa4876f90518c00", "title": "Business Intelligence Engineer, CreativeX Advertising Finance", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "New York, New York, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 109500, "salary_max": 185000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 109500, "base_salary_max": 185000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10410474/business-intelligence-engineer-creativex-advertising-finance", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer, CreativeX Advertising Finance New York, New York, USA Amazon.com seeks a Business Intelligence Engineer to be a key partner for an exciting new initiative-Gen AI within Amazon’s", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "dc409fa924fb92b15cf415e534fd1c88", "title": "Business Intelligence Engineer I, SCOT-AIM", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bellevue, Washington, USA", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 82300, "salary_max": 144000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 82300, "base_salary_max": 144000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10410231/business-intelligence-engineer-i-scot-aim", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer I, SCOT-AIM Bellevue, Washington, USA Amazon’s Automated Inventory Management (AIM) team is looking for an experienced Business Intelligence Engineer to conceptualize, articulate, and develop state of the", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "contractor", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "bc9768ad702c8fdc4831ea4eb76eaa2b", "title": "Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Policy", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 130400, "salary_max": 176300, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 130400, "base_salary_max": 176300, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10410583/senior-business-intelligence-engineer-smgs-ops-sales-planning-policy", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Policy Seattle, Washington, USA Are you excited about the cloud computing industry and leveraging data analytics technologies and methodologies? Are", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 10, "years_experience_max": 14, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "8f520e2f26a6b732147ad3c542bd5466", "title": "Business Intel Engineer - II, Amazon Robotics, Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI)", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Westboro, Wisconsin, USA", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 99500, "salary_max": 160000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 99500, "base_salary_max": 160000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10410020/business-intel-engineer-ii-amazon-robotics-amazon-robotics-global-operations-artificial-intelligence-go-ai", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intel Engineer - II, Amazon Robotics, Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) Westboro, Wisconsin, USA Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "contractor", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "72173f2f7a1a0bb1c874c482a547ea4e", "title": "Applied Scientist, Experience Analytics", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142800, "salary_max": 193200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142800, "base_salary_max": 193200, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10409662/applied-scientist-experience-analytics", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Scientist, Experience Analytics Seattle, Washington, USA AWS Experience Analytics (EXA) is seeking an Applied Scientist to join our team. EXA exists to turn customer understanding into products and intelligence", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "547ee7d89bcb3a800a8f9c00b9fd113c", "title": "Business Intelligence Engineer II, SCOT-AIM", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bellevue, Washington, USA", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 99500, "salary_max": 160000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 99500, "base_salary_max": 160000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10410232/business-intelligence-engineer-ii-scot-aim", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer II, SCOT-AIM Bellevue, Washington, USA Amazon’s Automated Inventory Management (AIM) team is looking for an experienced Business Intelligence Engineer to conceptualize, articulate, and develop state of the", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "contractor", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "49ee9ab9b8667195e4a4d8707dfa3823", "title": "Sr. Business Intel Engineer, WIMSI", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 130400, "salary_max": 176300, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 130400, "base_salary_max": 176300, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10410489/sr-business-intel-engineer-wimsi", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Business Intel Engineer, WIMSI Seattle, Washington, USA Do you want to work on a global project of critical importance to the future of Amazon, tackling real never-been-done-before challenges of", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 10, "years_experience_max": 14, "role_function": "marketing", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "3a58f31fbe4664537acfd42852ea57ad", "title": "Thermal Analysis Engineer", "employer_name": "Intel", "employer_slug": "intel", "location_text": "US, Arizona, Phoenix", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 164470, "salary_max": 232190, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 164470, "base_salary_max": 232190, "salary_disclosed": true, "equity_included": true, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [], "posted_at": "2026-05-04T00:00:00.000Z", "apply_url": "https://intel.wd1.myworkdayjobs.com/External/job/US-Arizona-Phoenix/Thermal-Analysis-Engineer_JR0283250-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Thermal Analysis Engineer US, Arizona, Phoenix Thermal Analysis Engineer /job/US-Arizona-Phoenix/Thermal-Analysis-Engineer_JR0283250-1 US, Arizona, Phoenix Posted 2 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 2, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "1f624bcee12b29e0ce1176b94f2f2c01", "title": "Solutions Architect II, National Security Solutions Architecture Team", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Herndon, Virginia, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 131300, "salary_max": 177600, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 131300, "base_salary_max": 177600, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10409600/solutions-architect-ii-national-security-solutions-architecture-team", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Solutions Architect II, National Security Solutions Architecture Team Herndon, Virginia, USA Amazon Web Services (AWS) is seeking a Solutions Architect to join our National Security team supporting Intelligence Community (IC)", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "top_secret", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "d198cd210dc6a9dbe7a04c02e094ea40", "title": "Business Intelligence Engineer, North America Transportation Services", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Tempe, Arizona, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 82300, "salary_max": 144000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 82300, "base_salary_max": 144000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-02T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10409448/business-intelligence-engineer-north-america-transportation-services", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer, North America Transportation Services Tempe, Arizona, USA Amazon delivers billions of packages each year through one of the world's most complex transportation networks. As a Business Intelligence", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": 2, "roll_up_total_locations": 2 }, { "id": "48f525da7e62afef32694d9b1d18e61e", "title": "Cyber Threat Intelligence Analyst", "employer_name": "Verizon", "employer_slug": "verizon", "location_text": "5 Locations", "country": "US", "employment_type": "part_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 101000, "salary_max": 194000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 101000, "base_salary_max": 194000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-02T00:00:00.000Z", "apply_url": "https://verizon.wd12.myworkdayjobs.com/verizon-careers/job/Basking-Ridge-New-Jersey/Cyber-Threat-Intelligence-Analyst_R-1094424-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Cyber Threat Intelligence Analyst 5 Locations When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_source_url": "https://www.verizonbenefits.com/flexibility/leaves-of-absence", "pto_days": 15, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 85, "benefit_verified": true, "benefit_last_verified": "2026", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "16428f74e3e5abb1255017773b814ec5", "title": "Director, Data Science, Foundation Model AI", "employer_name": "Merck & Co.", "employer_slug": "msd", "location_text": "USA - Massachusetts - Cambridge (320 Bent Street)", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 194100, "salary_max": 305600, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 194100, "base_salary_max": 305600, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [], "posted_at": "2026-05-02T00:00:00.000Z", "apply_url": "https://msd.wd5.myworkdayjobs.com/SearchJobs/job/USA---Massachusetts---Cambridge-320-Bent-Street/Director--Data-Science--Foundation-Model-AI-_R392839-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director, Data Science, Foundation Model AI USA - Massachusetts - Cambridge (320 Bent Street) Job Description Our Artificial Intelligence and Machine Learning (AI/ML) capabilities are critical accelerators of our mission", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_source_url": "https://jobs.merck.com/us/en/compensation-and-benefits", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 93, "benefit_verified": true, "benefit_last_verified": "2026", "hire_states_allowed": [], "seniority": "director_plus", "years_experience_min": 7, "years_experience_max": null, "role_function": "data", "employer_industry": "Healthcare", "employer_size": "5000+", "quality_score": 65, "travel_pct": 10, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "f13d51f5c630cdceefdbca4b5053a9dc", "title": "Manager, Business Intelligence", "employer_name": "Johnson & Johnson", "employer_slug": "jj", "location_text": "5 Locations", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 102000, "salary_max": 102000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 102000, "base_salary_max": 177100, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-01T00:00:00.000Z", "apply_url": "https://jj.wd5.myworkdayjobs.com/JJ/job/New-Brunswick-New-Jersey-United-States-of-America/Manager--Business-Intelligence_R-072495-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Manager, Business Intelligence 5 Locations At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented,", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 85, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 7, "years_experience_max": 11, "role_function": "data", "employer_industry": "Healthcare", "employer_size": "5000+", "quality_score": 65, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "ce7f9bd6118a27f6c3804232d763f81c", "title": "Cyber Job Openings", "employer_name": "Leidos", "employer_slug": "leidos", "location_text": "Columbia, MD", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 131300, "salary_max": 237350, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 131300, "base_salary_max": 237350, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-01T00:00:00.000Z", "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/Columbia-MD/Intelligence-Sector-Employee-Referrals_R-00175586", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Cyber Job Openings Columbia, MD Cyber Job Openings /job/Columbia-MD/Intelligence-Sector-Employee-Referrals_R-00175586 Columbia, MD Posted 5 Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_source_url": "https://www.leidos.com/careers/pay-benefits", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 73, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Defense", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": true, "security_clearance": "sci", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null } ], "total": 2214, "page": 2, "per_page": 24, "applied_filters": { "q": "Intel", "quality_floor": "default", "match_401k_strict": false, "parental_strict": false, "non_birth_strict": false, "pto_strict": false, "include_older": false, "page": 2, "per_page": 24, "sort": "relevance" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default" }