Top Data Engineer Jobs in Richmond, VA

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 Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Senior Lead Data Engineer, you will design and develop technical solutions, lead a team, and drive cloud-based data solutions at Capital One.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams, develop technical solutions, and utilize various programming and big data technologies to drive transformation in the company.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

Support the data infrastructure by ingesting, normalizing, and loading complex data sets using Azure tools and SQL. Ensure data quality and assist in client onboarding.

The Lead Data Engineer will design and develop technical solutions, collaborate on Agile teams, and support cloud-based data warehousing efforts while mentoring others.

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

As a Senior Lead Data Engineer, you'll lead developers in designing and implementing data solutions, utilizing various technologies including machine learning and cloud services to enhance user experiences.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.

As a Data Engineer, you'll manage data access, support development and analytics teams, implement automated processes, engineer data pipelines, and ensure data accuracy.

The role involves acquiring and analyzing new data sources, building pipelines, and collaborating to support quantitative research and trading strategies.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

The Data Engineer I will build robust data models, maintain data infrastructure, ensure data quality, and collaborate with analysts and scientists for business insights.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

The Data Architect designs data flows, defines standards, ensures data quality, and collaborates on data strategies while integrating advanced technologies.

As a Senior Lead Data Engineer, you'll design, develop, and support solutions, lead teams, and drive cloud-based data transformations.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

As a Data Engineer, you will design and maintain data pipelines, transform raw sources into clean, reliable data streams and tackle technical challenges.