Top Data Engineer Jobs

As a Data Engineer, you will build and maintain data pipelines, convert data into metrics, and operate the platform on AWS. Responsibilities include writing production code, processing data from APIs, and enhancing the orchestration layer using Dagster, while ensuring compliance in a HIPAA-regulated environment.

As a Data Engineer, you will design and maintain data pipelines, support DoD systems, and ensure data quality and compliance.

The Principal Data Engineer will lead the design of data frameworks, mentor teams, implement MDM solutions, and ensure data quality across environments.

The Databricks Data Engineer will design and implement ETL pipelines, manage data ingestion processes, and collaborate with business teams to create analytics solutions.

The Data Engineer role involves designing and maintaining AWS-cloud-native data systems, developing ETL processes, optimizing data pipelines, and ensuring data security and governance in healthcare data applications.

The Sr. Databricks Data Engineer will design, develop, and optimize data pipelines using Databricks, while ensuring scalable solutions and addressing data issues. Responsibilities include collaborating with teams, conducting impact analysis, and maintaining software lifecycle processes.

The Sr. Snowflake Data Engineer will design and optimize data pipelines, support mission-critical applications, and ensure data integrity and performance on cloud infrastructure.

The role involves migrating on-premises databases to AWS, developing Python scripts for data processing, and building AWS data pipelines. Responsibilities include supporting application teams, data modeling, and ensuring system efficiency.

The Junior Data Engineer will work with data to enhance trading systems, support data warehouses, and collaborate on technical solutions with the team.

As a Data Engineer at SpaceX, you'll develop metrics and tools to assess the scaling and efficiency of the Starlink network, collaborating with various teams.

As a Data Engineer, you will manage data pipelines, automate processes, and collaborate on software solutions to optimize supply chain performance.

The Data Engineer will design, develop, and deploy scalable AI-enabled data solutions, implement machine learning models, and conduct data analysis in the DoD's CDAO ADA IR program.

As a Data Engineer III, you'll build scalable data and ML infrastructure, develop automated data pipelines, implement MLOps and ensure data quality across systems.

As a Data Engineer, you will optimize data pipelines, develop code in Python and Spark, manage cloud infrastructure, and drive data solutions.

The Data Engineer I will build and maintain data pipelines, contribute to platform code, and integrate data sources while growing alongside senior engineers in a production-focused role.

The Data Engineer will design and manage data pipelines, perform ETL processes, develop visualizations, and ensure data quality. This role emphasizes cloud database work and requires a strong understanding of data storage mechanisms.

The Data Engineer III designs and implements data pipelines and storage solutions, ensuring data quality for enterprise decision-making and collaboration with various teams to enhance data governance and architecture.

As a Senior Data Engineer, you will automate processes, optimize data handling, build data products, and govern data while mentoring junior engineers.

The Mid-Level Data Engineer will design and maintain data pipelines using Python and PySpark on Azure, ensuring data quality for analytics and reporting while collaborating with various stakeholders to translate requirements into practical solutions.

The Palantir Data Engineer develops data transformation pipelines, integrates external systems via API, and conducts code reviews in Palantir's environment. Responsibilities include managing data ingestion, developing ETL code, and collaborating with Data Scientists.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

The Data Engineer II will manage analytics pipelines for mobile games, transforming telemetry data and ensuring data quality for studio teams' decisions.

Design, build, and optimize data pipelines for massive datasets. Collaborate with stakeholders, implement CI/CD processes, and ensure data architecture scalability.

The Data Integration Lead designs and manages data ingestion pipelines, ensuring data integrity and security while supporting ETL processes in classified environments.

As a Senior Data Engineer, you'll design and build data solutions, optimize data pipelines, and ensure data governance while mentoring team members.