Top Data Engineer Jobs in Washington, DC

Lead the development of data infrastructure, pipelines, and tools for real-time production applications, enhancing clinical AI/ML offerings.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

Lead the design, development, and deployment of enterprise-grade web applications with a focus on full-stack architecture, managing teams and collaborating across functions.

Lead the design and deployment of scalable ML infrastructure, focusing on MLOps and LLM strategies, while mentoring team members and ensuring operational maturity.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, manage MLOps infrastructure, and ensure reliable data workflows, while collaborating across teams to influence rent recommendations.

As a Senior Data Engineer, design and manage data ingestion frameworks, build MLOps infrastructure, and ensure data quality for real-time analytics.

As a Senior Data Engineer, you will develop and maintain data solutions, collaborate to meet data needs, and support automation efforts within a healthcare-focused startup.

The Principal ML Infra Engineer will design and maintain scalable ML infrastructure, collaborate cross-functionally, manage technical projects, and mentor team members.

As a Senior Python Engineer at ClickHouse, you will enhance the Python ecosystem for data scientists and ML teams, ensuring efficient data integration and optimizing workflows within the open-source environment.

As a Data Integrations Engineer, manage the data pipeline between Timely and clients, collaborating with cross-functional teams and ensuring successful integrations.

The Data Integrations Engineer will manage data ingestion, transformation, and export processes, collaborating with clients for integrations and troubleshooting issues.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

Lead the design and development of scalable data infrastructure and DevSecOps practices focusing on Snowflake and Terraform. Define long-term strategies, build CI/CD pipelines, optimize performance, and ensure operational excellence and security compliance.

As a Data Platform Engineer, you will enhance Stitch Fix's data stack to support AI products and analytics, ensuring scalability and reliability.

As a Lead Software Engineer on the Data Platform team, you will enhance the data infrastructure for AI/ML products, ensuring reliability and scalability while defining data governance and automation workflows.

Lead the development and maintenance of data pipelines, backend services, and collaboration with product and analytics to ensure data quality and governance.

The Senior Data Engineer will design, construct, test, and maintain architectures including databases and large-scale processing systems.

Seeking a Data Engineer to implement data integrations, develop scalable web applications, mentor team members, and uphold data quality standards.

Lead the Data Engineering practice, modernizing the data stack, building a data lakehouse, and supporting analytics and product needs.

The Senior Staff Software Engineer will design, build, and maintain data streaming pipelines using Kafka, enhancing system performance for cybersecurity solutions.

As a Senior Data Engineer, you will architect and scale data platforms, build data pipelines, mentor junior engineers, and collaborate with cross-functional teams.

The Software Engineer of Data Products will design and deliver scalable data products and APIs, collaborate on architecture, and enhance data infrastructure while focusing on customer-centric solutions.

As a Lead AI Data Engineer, you'll design scalable frameworks, develop natural language query systems, and integrate AI solutions, collaborating across teams to drive measurable business outcomes.

Lead the Data Platform team, build and maintain scalable data pipelines, mentor engineers, and ensure infrastructure reliability and observability.

Develop and manage Waabi's data lifecycle and infrastructure, collaborate with teams for data consumption, and assist in scaling the data platform.