Data Engineer, Denied Party Screening, AWS Compliance & Security Assurance
Amazon - Seattle, Washington, USA
Posted Jan 15, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $132K-$179K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
39% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Engineer, Denied Party Screening, AWS Compliance & Security Assurance Seattle, Washington, USA Amazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied parties from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries, etc. We screen billions of events every day. We integrate with Tier 1 systems, build DPS systems, and deal with unique scaling challenges. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Key job responsibilities • Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc. • Develop and manage ETLs to source data from various financial, AWS networking and operational systems and create unified data model for analytics and reporting. • Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena. • Collaborate with other Engineering teams, Product/Finance Managers/Analysts to
Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has field-level provenance to a source FewerJobs pulled: a government or employer source, or the original job posting. Posting-sourced facts are employer-stated and are labeled separately from government records.
Related jobs
-
Data Engineer (Clearance Required)
ICF International INC - Reston, VA
-
Data Quality Engineer
CBIZ INC - Houston, TX, United States
-
Data Engineer I
Honeywell - Phoenix, AZ, United States
-
Data Engineer
Cisco - San Jose, Costa Rica