Top Data Engineer Jobs

The Staff Data Engineer will build and scale data pipelines, collaborating across teams to integrate AI technologies and optimize data systems for analytics.

As a Senior Data Engineer, you'll collaborate with Agile teams, utilize cutting-edge technologies, develop robust cloud-based solutions, and mentor peers. Key tasks include full-stack development and addressing complex business challenges.

As a Senior Data Engineer at Capital One, you will design, develop, and implement data solutions, leveraging cloud and big data technologies, while collaborating with Agile teams and driving technical innovation.

The Data Engineer will support NIH operations, managing complex data environments, utilizing SQL, Python, and cloud technologies, with a focus on troubleshooting and team collaboration.

Data Engineers at Endex design and maintain data pipelines for transforming financial data into insights, focusing on data quality and analytics.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

The Data Engineer will design, build, and support data infrastructure. Responsibilities include developing data products and collaborating with stakeholders to meet data needs, ensuring scalable solutions and contributing to a robust data culture.

The Data Engineer role focuses on designing and implementing data pipelines, collaborating with stakeholders, ensuring data quality, and optimizing data processing workflows.

The Data Engineer will manage data pipelines, ensure data quality, and drive process improvements within the Finance Data Office, leveraging SQL, Snowflake, and Python.

The Data Engineer will design, build, and optimize data pipelines using Oracle technologies, focusing on high-volume environments and ETL development.

The Analytics Engineer will enhance the People Data Warehouse, model data, partner with stakeholders, and ensure data integrity for decision-making.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The Data Engineer will develop dashboards, manage datasets, conduct data analysis, ensure data quality, and collaborate with stakeholders.

The Data Developer will design a scalable data ecosystem, enhance data models, develop ETL pipelines, ensure data quality, and support analytics.

The Lead Data Engineer will develop and maintain data models, manage dbt projects, and implement data engineering solutions, while collaborating with stakeholders to enhance investment data integrity and delivery.

As a Data Engineer, you'll design, implement, and optimize data solutions from various sources to support business sales and finance teams.

The Data Engineer will design and optimize data pipelines, manage data in various formats, and collaborate across teams to enhance self-service analytics, using technologies like PySpark and SQL.

The Data Analytics Developer will design and optimize data pipelines, ensure data quality, and collaborate with cross-functional teams to support decision-making through effective reporting.

As a Lead Data Engineer, you will design and implement full-stack technical solutions, mentor team members, and work with data in cloud environments.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.

Interns will own projects, improve code quality, participate in code reviews, ensure testing, and utilize continuous integration and deployment.

The Principal Data Engineer will bridge data engineering, data science, and business intelligence, building ETL/ELT processes and scalable data pipelines while ensuring data quality and security.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

As an Associate Cloud Data Engineer, you will develop and maintain data pipelines in GCP, ensuring data quality and collaboration across teams.