Top Data Engineer Jobs

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

As a Senior Data Engineer, you will design and develop data pipelines, ensure data quality, and collaborate on advanced analytics projects within the Applied Research team at Cox Automotive.

As a Data Analytics Engineer, you'll design clean datasets in Snowflake for AI tooling, ensuring teams access reliable data for decision-making.

Design and maintain data pipelines and infrastructure, develop ETL processes, collaborate with stakeholders to integrate data, and optimize database performance.

The Data Engineer will develop AI/ML algorithms, assemble complex data sets, and implement data pipelines while optimizing infrastructure.

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

The Data Engineer will design, optimize databases, and manage data, ensuring accuracy and accessibility, while working with clients to meet data needs.

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.

Lead the design and delivery of scalable data pipelines and platforms for enterprise-level analytics, ensuring operational excellence and data governance.

The Junior Data Engineer will design and maintain data pipelines, manage ETL processes, optimize databases, and collaborate with stakeholders on data solutions.

As a Business Intelligence/Data Engineer, you will analyze data structures, implement data warehousing solutions, and design data visualizations while working with AI/ML services in cloud environments.

The Principal IT Data Developer will lead development teams, engage with stakeholders, and drive the lifecycle of data applications while ensuring compliance with GxP regulations.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

Design and support data integrations, build ETL pipelines, optimize SQL queries, and ensure data accuracy and system performance.

The Data Engineer will create innovative solutions for data management, implement and maintain data pipelines, ensure data quality, and collaborate with various teams to support business processes in healthcare.

As a Data Engineer, you will manage data ingestion, transformation, and analytics pipelines while ensuring data quality and compliance.

As a Quantitative Developer, you'll innovate and enhance quantitative methods, develop custom tools, maintain data pipelines, and collaborate with researchers for advancing investment strategies.

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.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

The Senior Data Engineer will design and maintain data pipelines, ensuring scalability and reliability while integrating diverse data sources and optimizing workflows.

Seeking a Data Engineer to design, build, and maintain data pipelines using Python, AWS, Databricks, and SQL, ensuring data reliability.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Staff Data Engineer will design and develop data models and pipelines, optimize data engineering processes, and enforce data governance, collaborating with cross-functional teams to meet business needs.