Databricks jobs

Senior Data Scientist Hyderabad About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team: Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers' needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you

Senior Full-Stack Developer - Analytics Vancouver Employment Type: Workplace Type: About our Vancouver Office Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teck's Corporate Office sits in one of Canada's most culturally diverse cities. Surrounded by world-renowned nature and globally inspired cuisine, the office brings together many of Teck's corporate functions - all working toward Teck's purpose of providing the essential resources the world relies on. Reporting to the Lead, Platform Management Systems, the Senior Full Stack Developer - Analytics will maintain and improve existing analytics applications that support operations at our mining sites. The Senior Full Stack Developer - Analytics in this role serves as a senior individual contributor who takes ownership and craftsmanship seriously. They engage with all layers of the solution stack. This ranges from infrastructure using Terraform or Crossplane on Kubernetes, through deployment pipelines in Azure DevOps, to data engineering with Azure Databricks, Spark SQL, dbt, or Python containers, and report generation via PowerBI. Don't miss out on this outstanding opportunity to be part of one of Canada's leading mining companies and join our team! Responsibilities Be a courageous safety leader, adhering to and sponsoring safety and environmental rules and procedures. Serve as a senior-level individual contributor on the Analytics Sustainment team, demonstrating outstanding troubleshooting and technical skills across the entire

AI Specialist (all genders) Munich, BY, Germany Company Description: Job Description: As an AI Specialist, you will join our newly launched Roland Berger AI Lab , where we design innovative and scalable GenAI solutions to create tangible impact for our clients and ourselves. Our mission is to rapidly and securely scale our expertise across clients and within Roland Berger. In this role, you will design and implement advanced AI solutions for both client and internal applications while collaborating with the AI team to tackle real-world business challenges. Your expertise will be crucial as you write clean, maintainable code to ensure scalable AI and machine learning solutions. Utilizing tools like Python, Databricks, SQL, Docker, and LangGraph, you will develop multimodal agents and automate workflows. You will also establish the necessary tooling and infrastructure for deploying AI models on platforms such as Azure, AWS, or GCP. Thorough documentation of processes is essential, as you will present your findings to stakeholders and clients, ensuring clear communication and understanding. Staying updated on the latest advancements in data science and generative AI will empower you to drive innovation within the organization. If you're ready to make a significant impact in the AI landscape, we are looking forward to hearing from you! Qualifications: University degree with excellent academic achievements in a quantitative or technical field Minimum 2-3 years of relevant professional experience Experience or touchpoints in consulting (e.g., project work, client interaction, or consulting methodologies) Experience with generative AI models/frameworks and MLOps tools Understanding of modern

Omnichannel Data Steward Tokyo, Japan posted: Posted 10 Days Ago

Senior Specialist Data Engineer Bangalore BTP (India)

Staff Software Engineer - Apache Spark 7 Locations posted: Posted 7 Days Ago

Senior Detection Creation Engineer Seattle, United States of America The people here at Apple don't just craft products - they build the kind of wonder that revolutionizes entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, including our approach to security. Join Apple, and help us protect the services that billions of customers rely on every day. The Detection team within Apple Services Engineering (ASE) is responsible for building advanced detections that protect approximately three-quarters of Apple's systems and services. We achieve this by partnering closely with engineering teams to develop a deep technical understanding of how these systems operate, along with a comprehensive grasp of the threat landscape. This allows us to build state-of-the-art security detections that proactively defend against real-world attacks. We're looking for a Detection Creation Engineer who combines deep security intuition with technical implementation skills. In this role, you'll craft detection logic that catches active malicious activity across Apple's infrastructure. You'll need to think like an attacker, understand how malicious behaviors manifest in telemetry data, and translate that knowledge into high-fidelity detections that protect our customers. This is a hands-on technical role where you'll write detection code in Scala Spark (Databricks notebooks) and configuration files for on-host detection systems (such as Falco rules). While we don't require prior Scala experience, we do expect strong programming fundamentals and the curiosity to dive deep into new technologies. If you're passionate about understanding attacker tradecraft and translating

Apprentice - Data Engineering Pune, Maharashtra, IND, 411013

Cleared Data Scientist Washington, DC At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The Work: - Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence. - Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques. - Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. - Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks. - Collaborate & Build: Partner with Data Engineers to define data requirements and support development. - Explore & Experiment: Research and test new tools to solve challenging problems. Here's what you need: - - Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT) - Proficiency in Python (pandas, PySpark) and SQL - Hands-on experience with data

Backend Data Engineer Krakow, Poland

Senior Data Engineer 5 Warsaw,Poland At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. About the Data Science and Engineering organization: Data Science and Engineering (DSE) is a key pillar of Netflix's data-driven strategy, leveraging data, analytics, experimentation, models, and consumer insights to inform decisions. DSE focuses on data engineering, metrics, analysis, dashboards, analytic tools, experimentation research, and analytics. The team also develops models and algorithms for internal decision support. We are committed to using data to inform our decision-making as we work toward our mission. This involves curating data across various domains, such as Growth, Finance, Product, Content, and Studio. All of this data collection and curation is made possible thanks to Netflix's talented Data Engineers, who bring this data to life. About Data Engineering: Data Engineering at Netflix involves building systems to process data efficiently and modeling data to power analytics. These solutions range from batch data pipelines that bring business metrics to life, to real-time processing services that integrate with our core product features. Data Engineers benefit from a strong understanding of large distributed systems on which our data solutions rely. Candidates should have experience across several of these skill sets and depth in at least one

Associate Data Scientist (Data Engineering) India - Hyderabad posted: Posted Yesterday

Solutions Architect Opportunities - Lakebase (Solutions Architect, Sr. Solutions Architect, Lead Solutions Architect) United States SLSQ127R199 Internal Mobility Opportunity We are accepting applications from internal candidates interested in Solutions Architect career opportunities across multiple levels, including: - Solutions Architect - Sr. Solutions Architect - Lead Solutions Architect Candidates will be evaluated and leveled based on experience, skills, and business need. Mission The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in

Field CTO NYC Metro About Shelf: We're building AI that is changing the world. The workforce of the future is going to be multi-dimensional, multi-faceted, conductors of both people and artificial intelligence. We're looking for someone who can do that. Shelf is the OS for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so that AI agents don't just respond, they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale. Brands like Amazon, Nespresso, HelloFresh, and KeyBank use Shelf to power their AI agents that automate workflows, improve efficiency, and turn long processes into automated work. We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks - and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach. Job Description: The Field CTO will serve as Shelf's primary technical authority in customer facing engagements, combining deep technical expertise with strategic sales leadership. You'll take ownership of the critical technical sales function currently handled by our CTO, partnering with Account Executives to close deals across the entire pipeline while building and leading a team of Sales Engineers. This role offers immediate impact and long term growth potential. You'll engage with Enterprise Architects, CTOs, VPs of Engineering, and AI Leaders to demonstrate how Shelf solves data quality challenges preventing GenAI initiatives from reaching production. Your ability to rapidly solution during fast-paced 3-5 day pilots and translate complex technical concepts into business value will

Head of Data Overwolf's lair Head of Data

Industrial Trainee - Data Engineer/Data Scientist Kulim (Malaysia)

AI Engineer Warsaw We're looking for a AI Engineer. The Enterprise AI team is a new, agile group of builders dedicated to empowering Asana's internal functions through the design and implementation of scalable AI workflows. We partner cross-functionally with business and engineering teams, maintaining tight feedback loops with our users to ensure our solutions directly enhance critical GTM processes. By automating high-value business logic, we serve as a critical pillar in driving Asana's broader goal of building the Agentic Enterprise Foundations. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve - Own the AI integration layer, architecting the connective tissue between foundational LLMs and our core GTM stack (e.g., Salesforce, Databricks) to automate high-value business logic. - Design prompting strategies, orchestration logic, and tool integrations that enable AI systems to retrieve data, reason over context, and take action across internal systems. - Build AI data infrastructure, including retrieval pipelines and RAG systems, to ensure AI outputs are grounded in accurate product documentation and customer insights. - Design and deploy intuitive AI interfaces - ranging from Slack apps to Chrome extensions - to bring AI directly into existing user

Senior Program Manager, Data Quality Mountain View, California (HQ) Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Team Every vehicle that drives itself on a public road starts with a decision someone made about a single annotation. At Nuro, we take that seriously - and we're looking for someone who does too. ML Operations is where data becomes decisions. We sit at the intersection of Autonomy Engineering and the globally distributed annotation teams who label the world our vehicles need to understand. We are builders, diagnosticians, and systems thinkers who care deeply about the end product - because we know that what we fix here shows up on the road. This team is collaborative and technically rigorous. We work closely with engineering and we hold each other to a high standard, but we also invest in getting things right together. Here is what the work actually looks like day-to-day: - Investigate annotation faults by querying databases directly to identify root causes, moving beyond reliance on ticket

Senior Data Engineer- F2F interview Diversity Hiring on 13th June (Must have- Python, Oracle db/ SQL) Chennai, TN, India Company Description: NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what's happening now, what's happening next, and how to best act on this knowledge. We like to be in the middle of the action. That's why you can find us at work in over 90 countries, covering more than 90% of the world's population. For more information, visit www.niq.com . Job Description: Our NielsenIQ Technology teams are working on our new “Connect” platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ's data and insights to innovate and grow. As a Software Engineer, you'll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. Right now our platform is based in Scala, Snowflake, Databricks, Python and we continue to adopt the best of breed in cloud-native, low-latency technologies. We value CI/CD in everything that we develop. Our team is co-located and agile, with central technology hubs in Chicago,

Data Engineer India - Hyderabad posted: Posted 24 Days Ago

Senior Data Engineer - Internal Platform Berlin Office About Parloa Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com , HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. About the role: As Senior Data Engineer - Internal Platform , you will build and own the data infrastructure that powers Parloa's internal AI transformation. Today, business-critical data lives across dozens of disconnected tools with no unified way to access it - you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate. Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact. Areas of ownership: - Data Platform Infrastructure : Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management. - Ingestion Pipelines: Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules. - Data Modeling & Transformation : Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets. - AI Data Enablement:

Distributed Systems Engineer 4 - Data Platform Poland Warsaw,Poland Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. Our Data Platform team provides centralized data platforms and tools for various business functions at Netflix, enabling them to utilize data to make critical, data-driven decisions. We focus on making it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to set the industry standard in building a world-class data infrastructure, supporting Netflix's goal to be the most popular and widely accessible destination for global internet entertainment. As the Data Platform charter grows, we are expanding our presence to Poland to further increase our impact. We are seeking Distributed Systems Engineers to help evolve and innovate our Product and Infrastructure. We are committed to building a diverse and inclusive team that brings new perspectives as we address the next set of challenges. Team Spotlights Data Platform Online Data Stores Team This team will focus on taking end-to-end ownership of the internal data platform products, including ZooKeeper, one of the critical infrastructure products in our suite, ensuring its continued reliability, scalability and evolution. Over time, this team will expand its charter to more datastores, and to drive broader infrastructure initiatives. This

Sr. Alliance Director, AI GTM Remote - California; Remote - Washington Job Req: SLSQ427R270 Locations: San Francisco/ Seattle The Cloud & AI Partnerships team is responsible for establishing durable long-term alliances with the world's most important technology companies in the Data & AI ecosystem.We are looking for a Sr. Alliance Director, AI GTM to facilitate Go-To-Market (GTM) strategies with our strategic AI partnerships - including our alliances with Anthropic, OpenAI, and Google Gemini. This role demands a rare combination of skills: the GTM fluency of a strategic alliance & business development leader and the Generative AI domain expertise needed to build targeted programmatic GTM motions that create and convert pipeline across our global field organizations. This role requires established, existing relationships within the leadership/GTM functions of major AI labs and cloud providers, ensuring immediate credibility and accelerated collaboration. You will set GTM strategy, manage co-sell investment programs, build relationships between Databricks GTM executives and their counterparts at the world's leading AI labs, and drive measurable business outcomes through co-sell and field enablement initiatives. You will operate with a high degree of autonomy, report into the VP of Cloud & AI Partnerships, and collaborate cross-functionally with product & engineering, sales, and marketing. This is a fast-paced, high-visibility role for someone who thrives in complexity and wants to be at the center of the most consequential partnerships in enterprise AI. The impact you will have: - Serve as the primary point-of-contact for senior GTM stakeholders at Anthropic, OpenAI, and Google, cultivating trusted,

Principal Datacenter Electrical Engineer Redmond, WA, US