Data Engineer Jobs in Washington, United States

Customer Insights Delivery team owns trusted data behind Nordstrom’s personalization, marketing spend, and loyalty decisions. As a Data Engineer 2, you build and maintain production dbt models and performant SQL, migrate 40+ pipelines, and use AI tools to accelerate delivery.

Data Engineering team at Parametric builds scalable, secure data pipelines that serve multiple users across the firm. The Principal Data Engineer leads design, development, and maintenance of services, guiding a team of engineers to deliver high‑quality solutions.

Data Intelligence team at Microsoft builds AI-driven network and security intelligence solutions. The Software Engineer II develops features, enhances machine learning models and generative AI agents, and constructs data engineering pipelines using Spark, Azure Data Factory, and Azure Data Explorer while troubleshooting live‑site issues and participating in DRI rotation.

Data Platform & Pipeline Engineering team builds scalable data pipelines and platforms for AI and analytics. The Data Engineer II designs, develops, and optimizes batch and streaming pipelines, data models, and governance frameworks to support AI/ML workloads.

Data Engineering team at Microsoft builds scalable data pipelines and platforms to enable enterprise-wide analytics. The Data Engineer designs, prototypes, implements, and tests data models and visualizations, collaborates with cross‑functional teams to surface machine learning opportunities, and mentors peers to foster a culture of continuous learning.

Accenture Flex team enables flexible, project‑based data engineering across client sites, delivering scalable data pipelines and architectures. The Data Engineer designs, builds, and maintains data solutions, leads pipeline development, ensures data quality, and collaborates with cross‑functional teams to align data strategies with business goals.

Azure Data Engineering team at Microsoft builds enterprise analytics solutions that drive business decisions. The Data Engineer II extracts, transforms, and models disparate data, validates outputs, and delivers proofs of concept to business stakeholders.

Data Engineering team at Microsoft builds end‑to‑end data pipelines that feed AI models and enterprise products. The Senior Data Engineer designs, implements, and maintains scalable batch and streaming workloads, ensuring data quality, security, and compliance.

Providence Health & Services’ Data Engineering team builds modern, data‑centric applications to support clinical and operational workflows across the healthcare system. The Data Engineer I designs and develops scalable pipelines, automates monitoring, and optimizes Snowflake performance while collaborating closely with Product, Platform, and Architecture teams.

Providence Health & Services’ Enterprise Information Services team builds modern data‑centric applications to support clinical and operational processes across the healthcare system. The Data Engineer I designs and implements data pipelines, enrichment processes, and provisioning layers, collaborating closely with Product, Platform, and Architecture teams to deliver key initiatives.

Data team at Brook Inc. builds the trustworthy data foundation that powers AI-driven clinical insights and operational analytics for continuous care. The Data Engineer designs, builds, and maintains batch and streaming pipelines, creates dbt models and a semantic layer, and ensures data quality and HIPAA compliance while collaborating with Applied AI to ground LLM answers in reliable data.

AWS Kumo team builds customer‑facing applications and internal tooling to improve AWS Support experiences. As a Data Engineer you will develop and enhance data architecture, pipelines, and quality while collaborating with BI Engineers, Data Scientists, and Business Analysts to deliver analytics and predictive insights.

Amazon Transportation Services (ATS) builds scalable data platforms to support complex logistics and AI-driven planning tools. The Data Engineer designs, implements, and maintains data pipelines and warehouses on AWS, enabling business intelligence, analytics, and machine learning across the organization.

Rapid and Rural Logistics (R2L) Data Engineering & Infrastructure team builds and maintains data pipelines and automation tools for business analytics. The Data Engineer develops ETL workflows, supports AWS data services, and contributes to AI‑enabled knowledge management prototypes.

Amazon Fulfillment Technologies (AFT) builds the software, hardware, and data science solutions that power Amazon’s global fulfillment network. As a Data Engineer I you will design and implement complex ETL pipelines, develop data models, and leverage AWS services to deliver clean, fresh data for analytics and decision‑making.

Global Transportation Services (GTS) Speed team builds data infrastructure that powers real-time logistics decisions for millions of Amazon customers. The Data Engineer II designs, builds, and operates scalable ETL/ELT pipelines, manages Redshift clusters, and collaborates with data scientists and product teams to deliver reliable data for reporting and machine learning.

QuBIT team at Amazon builds the semantic layer that enables AI agents to query and understand warehouse data for workforce learning analytics. The role designs and maintains SQL pipelines in Redshift, expands entity schemas, and enriches ontologies with causal relationships, working closely with business stakeholders to translate domain knowledge into machine‑readable metadata.

Amazon Manufacturing Services (AMS) data engineering team builds pipelines, warehouses, dashboards, and ML workflows that turn raw manufacturing signals into actionable insights for shop floor users and leadership. The role designs and operates AWS Glue, Kinesis, Redshift, and Athena data pipelines, develops QuickSight dashboards, and builds ML models for demand forecasting and machine health prediction.

Amazon Manufacturing Services (AMS) builds data pipelines, warehouses, and ML workflows that turn raw manufacturing signals into actionable insights for shop floor users and leadership. The Data Engineer designs and operates AWS Glue, Kinesis, Redshift, and Athena pipelines, builds dashboards in QuickSight, and deploys ML models for demand forecasting and machine health.