Data Engineer Jobs in Washington, United States

AWS Marketing Data: AI Science, Analytics and Engineering (D:SE) team builds analytics, reporting, self‑service tooling and ML‑powered targeting models for AWS Marketing. The Data Engineer designs, implements and supports scalable ETL pipelines, data models and Redshift warehouses, collaborating with business owners to deliver high‑quality datasets and reporting solutions.

The AWS Marketing Data: Science Engineering team empowers strategic decisions by driving measurement, experimentation, and ML-powered targeting for AWS Marketing. As a Data Engineer, you will design scalable data warehousing solutions, build ETL pipelines, and deliver robust datasets to support business analytics.

Data Engineering Team at CoreWeave builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making. The Staff Data Engineer defines and drives the architecture of the enterprise data ecosystem, leading cross-domain design, governance, and platform standards while mentoring senior engineers.

AWS Open Data Analytics Engines team builds fully managed, high‑performance analytics services on open‑source frameworks. The Director defines and executes the technical roadmap, leads a large engineering organization, and drives innovation in query planning, optimization, and distributed execution.

AWS Data Center Design Engineering team builds resilient, cost‑effective data center facilities worldwide. The Structural Engineer designs and validates structural systems for DCs, reviews consultant drawings, provides technical guidance, and solves large‑scale implementation challenges.

Technology, Data, and Intelligence (TDI) team at Okta builds the trusted infrastructure that powers the global workforce and secures AI-driven identity solutions. As a Principal Data Engineer you will architect, build, and maintain high‑scale data platforms, develop data quality frameworks, and lead cross‑functional initiatives to ensure product telemetry is captured efficiently.

Data Management Team at Amazon Web Services builds scalable data pipelines and infrastructure for global sales and operations analytics. The role designs, develops, and operates high‑volume data structures, ETL processes, and AWS resources while collaborating with machine learning and BI engineers.

Technology, Data, and Intelligence (TDI) team at Okta builds the trusted infrastructure that powers the global workforce. As a Principal Data Engineer on the Data and Insights team, you will architect, build, and maintain high‑scale data platforms, develop data quality frameworks, and lead cross‑functional initiatives to ensure data availability and integrity for People (HR) systems.

WW Pricing Data & Analytics team builds software that generates billions of pricing recommendations daily. As a Data Engineer you will design data models, create ML data infrastructure, and develop pipelines that support pricing algorithms and reporting, including GenAI solutions.

Amazon Business team builds large-scale B2B purchasing and procurement solutions. As a Data Engineer you will design and implement high‑performance data integration services, model metadata, build ETL pipelines and dashboards, and support custom applications using Python/Java on Amazon's cloud data lake.

The Data Center Engineering (DCE) Design Tech team within AWS Infrastructure Services seeks a Sr. Data Engineer to build data pipelines and reporting solutions for global data center operations. Based in Seattle, WA, this full-time role involves partnering with engineering teams to source data and ensure reliable metrics for business decision-making.

Specialist Technology Team (STT) at AWS builds AI-powered specialist knowledge systems and data platforms to accelerate field team success. The Data Engineer will design, build, and operate scalable ETL/ELT pipelines and a centralized data platform on AWS services, enabling analytics and AI/ML workloads.

All-Domain Operations (ADO) within HII Mission Technologies designs and delivers advanced data‑integration solutions for defense and intelligence partners. The Data Engineer/Architect builds ETL pipelines, creates tools to ingest structured and unstructured data, and provides architectural guidance to ensure seamless interoperability with mission‑partner systems.

TikTok Recommendation Data Ecosystem team builds offline and real-time storage and computing infrastructure for recommendation, search, and advertising systems serving over 1 billion users. The engineer designs and implements scalable Paimon‑Flink architectures, optimizes performance, and ensures system reliability and data consistency.

Data Clean Rooms team at Snowflake builds secure, multi‑party collaboration hubs that enable enterprises to share data while preserving governance. As a Senior Software Engineer you will architect scalable infrastructure, design core clean‑room features and AI‑enabled services, and partner with product and cross‑functional teams to deliver production systems.

Synthetic Data Engineering team at Hyphen Connect builds domain‑specific synthetic data pipelines to power SFT and DPO training loops. The engineer designs SDG pipelines using self‑instruct and constitutional prompting, implements automated quality scoring and de‑duplication, and manages data flows into model training.

The IT Enterprise Data Solutions (EDS) department’s Data Engineering team leads data technology and utilization to enable informed decision-making and strategic insights across the foundation. As a Senior Data Engineer, you will design, build, operate, and continuously improve secure, scalable data solutions on the foundation’s Modern Data Platform, translating business and technical requirements into production-ready pipelines, data products, models, and platform capabilities.

AWS Analytics Engineering (AAE) builds the data platform that powers business decisions across 150+ AWS services. The Senior Data Engineer designs and operates large‑scale pipelines, data models, and infrastructure, partnering with service teams to deliver analytical insights.

AWS Analytics Engineering (AAE) organization builds and operates the data platform powering business decisions across AWS services. The Data Engineer designs, builds, and operates the next‑generation ingestion service, creating scalable frameworks, event‑driven architectures, and governance controls.