Top Data Engineer Jobs

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 Data Engineer will build and maintain scalable data pipelines, ensure data quality, and support a metadata-driven framework while collaborating with stakeholders.

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

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

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

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

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.

Responsible for designing and maintaining ETL workflows using Informatica and AWS, optimizing data pipelines, and ensuring data quality across enterprise systems.

The Azure Principal Data Engineer designs and evolves scalable Azure data platforms, ensuring data transformation, governance, and automation, while mentoring 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 Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

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

The Senior Data Engineer will design and build data pipelines, manage data architecture, ensure privacy compliance, mentor team members, and collaborate with cross-functional teams.

As a Senior Data Engineer, you'll design and build data pipelines and architectures, ensuring data quality and governance while mentoring peers.

The Data Engineer will manage project execution related to cloud data platforms, using data engineering skills and project management to deliver analytics solutions. The role requires collaboration with business partners and focuses on data products in finance and cost engineering.

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

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.

As a Data Engineer, you will build and maintain data pipelines, support AI capabilities, and establish best practices for data engineering. You'll work on data ingestion, management, and automation for a scalable data platform.

As a Data Engineer, you will build and maintain scalable data pipelines, support AI capabilities, design frameworks, and enforce engineering standards.

The Data Engineer will develop Python data applications, collaborate with teams to optimize data solutions, and maintain production operations support.

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

The Data Engineer is responsible for building ELT pipelines, migrating data to a new EDW, developing data observability processes, and collaborating with teams to ensure data requirements are met while improving data accessibility.

The role involves owning the data infrastructure and pipeline, building robust data pipelines, managing Snowflake and dbt, and delivering analytics and dashboards.

The Data Engineer will develop data solutions, manage data pipelines, ensure data quality and adherence to governance, and work with cross-functional teams to optimize analytics in healthcare.