Top Data Engineer Jobs in Washington, DC

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

As a Staff AI Data Engineer, you will build and maintain data pipelines for ML/AI tools, ensuring high-quality datasets and collaborating with data scientists to enhance mental health care.

As an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

The role involves designing, developing, and maintaining scalable distributed systems for data delivery, analytical databases, and data retrieval processes. Responsibilities include optimizing performance, collaborating with teams, and enhancing customer-facing APIs.

As a Distributed Systems Engineer, you will design and build logging platforms, develop data connectors, ensure compliance of audit logs, optimize data delivery, and maintain operational health through monitoring and collaboration with other teams.

Responsible for developing customer-facing APIs, enhancing alerting platforms, optimizing analytical queries, and ensuring operational health of systems in a distributed data environment.

The Data Developer will design, build, and optimize data systems, integrate data sources, and ensure the reliability of data platforms, supporting VA Health Connect.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

The Senior Data Engineer will design scalable data models, optimize datasets in Snowflake, automate data validation, and collaborate with business stakeholders to enhance data quality for executive reporting.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

The role involves developing and maintaining data pipelines, managing critical data sources, improving data architecture, and mentoring junior team members in a collaborative environment.

The Senior Staff Software Engineer will design and implement Webflow's Central Data Catalog, lead the governance strategy, and improve data infrastructure while mentoring engineers.

As a Data Engineer, design and build data pipelines and architectures to support AI/ML initiatives, ensuring data quality and scalability.

As a Senior Data Applications Engineer, you'll architect and develop Python-based data applications, automate business processes, and lead technical project deliverables while mentoring junior engineers.

As a Senior Software Engineer at PNC, you will design, develop, and maintain software solutions to meet complex business needs, focusing on data and automation.

The Data Engineer will design and implement data pipelines in AWS for cloud-based data lakes and warehouses, ensuring efficient data integration and processing.

The Senior Data Architect designs and implements database structures, develops data pipelines, integrates data from sources, and conducts performance tuning. Requires strong experience in ETL processes and database management.

The Senior Data Engineer will design and maintain scalable data systems, optimize workflows, ensure data quality, and mentor other engineers while collaborating across teams to enhance data access and product performance.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

As a Staff Software Engineer, you'll lead the development of data infrastructure services, optimizing performance and reliability on AWS while building APIs and frameworks for data handling.

Design, harden, and operate the distributed data systems for analytics and machine learning at Zocdoc, ensuring reliability, security, and performance at scale.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.