Top Data Engineer Jobs

The Data Engineer designs and builds AI-driven solutions, optimizes data pipelines, manages integrations, and enhances analytics capabilities across the organization to improve efficiency and decision-making.

The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.

As a Data Engineer, you will develop strategies, metrics, tools, and models to assess and optimize Starlink's customer acquisition, leveraging data insights to enhance business operations.

The Principal Data Engineer will design and evolve data architecture, build data transformation workflows, and ensure integration of diverse data sources while enabling AI and analytics capabilities.

The AWS Data Engineer designs and maintains data solutions on AWS, implementing scalable pipelines, integrating systems, ensuring security, and optimizing workflows.

In this role, you will build and scale data pipelines, develop ETL workflows, ensure data quality, and support AI-driven applications by preparing datasets.

The Senior Data Engineer will implement data engineering activities, developing pipelines and platforms to organize and make disparate data meaningful for mission-driven projects.

As a Data Engineer, you'll develop advanced technology solutions, create scalable data platforms and ETL workflows, and work with teams to analyze data.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

As a Data Support Engineer, you will ensure the reliability of data pipelines, resolve data quality issues, and support data consumers. You'll enhance monitoring, mentor new engineers, and drive operational best practices in a team setting.

Design, develop, and maintain data solutions to ensure data availability and quality for analytics. Build data pipelines, optimize database designs, and perform data integration and transformation.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

As a Data Engineer II, you will build complex data solutions, ensure data quality, collaborate with teams, and lead projects to enhance analytics capabilities.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.

The Principal Data Engineer will design and optimize data pipelines, mentor team members, develop data products, and ensure data integrity while collaborating across teams.

The Lead Cloud Data Engineer will design and optimize ETL pipelines, manage data quality, and collaborate with teams to meet data needs. Responsibilities include monitoring pipelines and mentoring junior engineers, while leveraging AWS and other cloud technologies.

As a Data Engineer II, you will develop and operationalize data pipelines, manage data ingestion and transformation, and ensure data quality for analytics. You will also collaborate with DevSecOps for CI/CD and enhance data solutions.

Develops and operationalizes data pipelines, engages with DevSecOps, and ensures data quality for analytics at Centene.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.

As a Lead Data Engineer at Capital One, you will design and implement data solutions, optimize data pipelines, and collaborate with Agile teams to enhance data quality and governance.

As a Senior Lead Data Engineer, you'll lead a development team, design and implement data solutions using machine learning, distributed systems, and full-stack technologies, while collaborating with Agile teams and ensuring code quality.

The role involves leading development teams, designing data solutions, optimizing systems, and mentoring while working with big data technologies in a cloud environment.

The Data Engineer will develop and optimize data processes, support transactional applications, and build data pipelines, ensuring high-quality, performant solutions for business needs.

The Senior Data Engineer will manage Oracle Exadata Database Machines, ensuring operational availability, performance engineering, and automation, along with infrastructure architecture and lifecycle management.