Top Data Engineer Jobs

The Senior Data Engineer will architect and maintain data platforms, build scalable data infrastructure, mentor teams, and drive healthcare data improvements and product integration.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

The Senior Data Engineer will design and implement data management systems, develop ETL processes, and maintain CI/CD pipelines for a government client.

The Contractor will design and maintain data infrastructure, optimizing data pipelines and implementing best practices for data quality and reliability. Responsibilities include developing API integrations, ETL processes, and documentation, collaborating with stakeholders to translate requirements into technical solutions.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

As a Senior Data Engineer, you'll manage, optimize, and expand data infrastructure for a clinical data registry, focusing on enhancing data systems and reliability while developing new capabilities.

The Sr. Data Engineer designs and maintains data infrastructure, develops ETL processes, and collaborates with teams for optimal data accessibility and performance.

The Senior Data Engineer will build and maintain ELT pipelines, manage data workflows, and improve the data warehouse quality while ensuring data integrity and accessibility for stakeholders.

Seeking a Senior Data Engineer to develop scalable data solutions and pipelines on Databricks and AWS, ensuring data quality and promoting engineering excellence.

As a Senior Data Engineer at Polymarket, you'll scale the data platform, manage analytics and serving layers, and ensure data correctness across teams.

Design and build data pipelines and infrastructure; maintain data quality and accessibility; optimize data warehouse architecture while collaborating with teams to meet data needs.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.

The Senior Data Engineer will build and maintain data pipelines for cost analytics and chargeback reporting, transforming raw data into structured datasets.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

The Data Operations Engineer will monitor and optimize trading processes, enhance integration and deployment pipelines, ensure quality control, and lead continuous improvement initiatives while documenting and reporting on production performance.

The Senior Data Engineer will design, build, and operate data pipelines, ensuring reliability and quality, while collaborating with cross-functional teams.

The Lead Data Engineer will manage U.S. Data Strategy capabilities, translating business objectives into cloud data solutions, while ensuring scalability and security. This includes ETL, analytics, and technical leadership in a hybrid work environment.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

The Sr. Data Engineer will develop and maintain data pipelines, optimize performance in Azure, and implement data governance while mentoring junior resources.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.