Top Data Engineer Jobs

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

The Vice President, Technology will lead data engineering efforts to design and deliver data integration solutions across CRM ecosystems using ETL, Python, and advanced SQL/NoSQL technologies.

The Data Engineer will design and implement data pipelines and platforms for various applications, collaborate with teams, and handle structured and unstructured data.

As a Data Engineer, you will acquire, curate, and publish data for analytical uses, ensuring data quality and supporting business processes through efficient data solutions.

Design and maintain data pipelines and lake platforms, optimize data processing with cloud technologies and collaborate with team members for AI initiatives.

The Senior IT Business Intelligence Data Engineer will design and build data pipelines, develop solutions, support data engineering standards, and mentor junior engineers.

The Data Platform Operations Engineer ensures the reliability and performance of the Performance Team's data systems, managing data workflows, monitoring ETLs, resolving data issues, and optimizing performance.

As a Data Engineer, you'll build data solutions, analyze sources, support data governance, and educate end users on data products.

The Data Engineer designs and maintains data pipelines and database infrastructure, ensuring reliability, optimizing data models, and supporting analytics across the organization.

Join the Artist-First AI Music lab to build and maintain large-scale distributed data pipelines (Scio/Dataflow), improve data quality via CI/CD, collaborate with cross-functional teams, and support generative-music products using BigQuery and other GCP tooling.

As a Data Engineer, develop and maintain ETL/ELT pipelines, monitor data quality, and collaborate on product initiatives within a big data team.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.

The Senior Lead Data Engineer designs and develops technical solutions, leads a team of developers, and utilizes big data and cloud technologies to deliver robust solutions for Capital One.

As a Senior Lead Data Engineer, you will design, develop, and support data solutions, optimize systems, and collaborate within Agile teams to leverage technology for business transformations.

Lead a team of engineers to design and implement data solutions using cloud technologies, optimizing data pipelines and collaborating with Agile teams to deliver impactful data-driven products.

Lead a team of data engineers to develop, test, and support solutions using big data technologies and cloud services while mentoring peers and collaborating with product teams.

Design, build, and optimize data pipelines for analytics and ML. Collaborate with BI teams and improve data platform performance.

The MDM Data Engineer is responsible for configuring and optimizing the Profisee MDM platform, ensuring data quality, integrating systems, and collaborating with stakeholders for data governance.

The Data Developer Intern will assist in data migration, pipeline development, and data analysis for customer implementations on Guidewire Cloud, collaborating in an Agile environment and learning through hands-on experience.

The Data Engineer supports the VA's Modern Disability Claims initiative by developing ETL pipelines, data transformation workflows, and supporting cloud data architectures for analytics and operational decision-making.

The Data Engineer will develop ETL processes, maintain data pipelines, ensure data quality, collaborate with teams, and leverage cloud-based technologies.

The Data Engineer II will build and maintain data pipelines, working with various data formats and cloud technologies to support accounting needs.

The Data Engineer III role involves designing and building scalable data pipelines on Azure Databricks, migrating legacy systems, and ensuring compliance with financial regulations, while mentoring others and producing technical documentation.

Develop and manage Sutter Health's data infrastructure, ensuring data quality, building pipelines, and collaborating with researchers on projects involving sensitive data under HIPAA regulations.