Top Data Engineer Jobs

The Python Data Engineer will enhance data assets, drive requirements for data ingestion and access, and maintain code quality and tools in a dynamic office environment.

The Data Engineer will build and maintain scalable data pipelines, ensure data quality, and collaborate with teams to meet data requirements for federal government projects.

The Data Engineer will modernize and stabilize the data platform, optimize ELT/ETL pipelines, ensure data quality, and collaborate on AI architecture.

The role involves engineering and maintaining data pipelines within the Palantir platform, developing governance applications, and ensuring platform performance and compliance.

The Principal Data Engineer leads the development of scalable data solutions, collaborates on product roadmaps, influences organizational change, and coaches junior staff in a hybrid work environment.

Lead a team to design and optimize secure data pipelines and platforms for analytics, ensuring high-quality data for strategic decisions.

The Data Engineer will develop and implement data pipelines, manage ETL processes, and work with big data in a collaborative team environment.

The Lead Data Engineer will architect and optimize data pipelines, leading a team to create scalable data solutions that support analytics and decision-making.

The Data Engineer, Senior will design and maintain data systems, build ETL pipelines, and collaborate with a team to optimize data solutions for client missions.

The Data Engineer will design and build scalable data pipelines, optimize data infrastructure, and collaborate with teams for data solutions in an eCommerce environment.

As a Data Engineer, you'll build data solutions, support analytics, and ensure data quality while collaborating across teams to optimize data management.

As an ETL Data Engineer, you'll design and maintain data integration processes using Python and Azure Synapse Analytics, ensuring data accuracy for insights. You'll collaborate with teams, implement data quality checks, and contribute to performance tuning and data modeling.

The Azure Data Engineer will design and develop ETL processes, utilizing Python and Azure Synapse Analytics, to manage data integration and ensure data accuracy. Responsibilities include performance tuning, data modeling, and collaboration across teams.

Lead design, development, and maintenance of Azure data pipelines and solutions (ADF, Azure SQL). Implement CI/CD, perform data modeling, ensure data quality and scalability, support deployments and production operations, and collaborate with architects, analysts, and business stakeholders to deliver governed, reliable analytics-ready data.

The Staff Data Engineer will design and build data pipelines, reports, and tooling for the Concepts Lab, ensuring reliable AI systems and leading data modeling and analytics efforts. The role requires extensive experience in production data systems and collaboration across teams to transition concepts into production.

As a Senior Data Engineer, you will manage data integration, optimize performance, mentor junior engineers, and collaborate with product teams on innovative solutions in healthcare data modeling.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

Lead the design and implementation of technical solutions using big data technologies. Collaborate with teams to deliver cloud-based data solutions and support Agile practices.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Design and build foundational dimensional data models, enterprise metrics, and curated data products on a modern lakehouse. Partner with business domains to translate processes into scalable, high-quality datasets, optimize analytical workloads, and operate distributed processing systems to support analytics, BI, and AI.

The Data Engineer will build and maintain scalable data pipelines, improve ETL processes, collaborate with AI/ML teams, and contribute to engineering culture.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

The Data Engineer will develop end-to-end data pipelines, optimize data architectures, and implement machine learning solutions to enhance business intelligence capabilities.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

The ETL Lead will design and manage scalable data pipelines, optimize data lake architectures, and lead data engineering initiatives in a cloud environment.