Top Data Engineer Jobs

Design and develop data solutions, maintain databases, enhance data quality, mentor junior engineers, and lead data process improvements.

The Senior Data Engineer will design and maintain data architecture and integration solutions, develop enterprise data pipelines, enforce data quality, and mentor junior team members while collaborating with business stakeholders.

The Senior/Lead Data Engineer will design and maintain scalable data pipelines, oversee AI workflows, and lead teams to ensure project success while mentoring junior engineers.

The Staff Data Engineer role focuses on designing, prototyping, and deploying data-driven solutions, especially in AI, to solve business problems quickly while ensuring quality and scalability. Responsibilities include solution design, AI agent development, and collaboration with teams to implement effective data pipelines and architectures.

The Sr. Data Engineer designs ETL solutions and data architecture, collaborates on technical solutions, and addresses data management functions.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

Roku seeks a Senior Data Engineer to develop scalable data pipelines, optimize data quality, and maintain big data platforms, requiring extensive SQL and Python knowledge.

As a Staff Data Engineer, you will design and deliver data-driven solutions, focusing on AI agents and scalable data pipelines, while collaborating with various teams.

The Senior Data Engineer will manage the Snowflake platform, ensuring data security, implementing best practices, and collaborating with teams on data integration and architecture.

The role requires expertise in GCP for AI and Analytics, overseeing solutions architecture, code approvals, data governance, and feature roadmaps while collaborating with development teams.

The Senior Data Engineer will develop and maintain data reporting stacks, manage data services, and collaborate with stakeholders to design data solutions.

As a Lead Data Engineer, you will architect data foundations for AI applications, lead a team, optimize data pipelines, and ensure data governance.

The Stack Data Analysis Engineer monitors and analyzes critical component data, develops engineering tools, and collaborates with teams to improve product yield and quality metrics.

The Senior Data Engineer will design and operate the data platform, build ELT/ETL pipelines, optimize data performance, and ensure data quality while collaborating with business teams.

The Senior Data Engineer will design and optimize data services and pipelines, manage data quality, and collaborate with cross-functional teams to enhance data-driven decision-making.

As a Software Engineer in the Data Platform team, you will implement data governance frameworks, manage access controls, improve data quality, and support audit readiness.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

The Sr. Data Engineer will design and maintain data pipelines, enhance data reliability, and collaborate with trading strategists to improve platform capabilities.

The Data & Analytics Engineer will support marketing analytics by working with data pipelines, data modeling, and collaboration with marketing teams to provide insights for campaigns and customer engagement.

Responsible for assessing and improving data quality. Collaborates with developers to implement data logic, conducts quality reviews, and communicates issues to resolve data quality problems. Provides support to ETL teams and manages customer requirements throughout the project lifecycle.

The Senior Software Engineer designs and builds data products for genomics research, creating data pipelines, ensuring compliance, and collaborating with R&D teams.

The Senior Data Quality Specialist will develop data quality rules, implement cloud-based solutions, and analyze data accuracy, leading projects and collaborating with teams.

The Senior Data Engineer will design, build, and optimize data pipelines and models, lead a team, and work with stakeholders to deliver data-driven solutions for a Federal client.

The Data Systems & Integration Engineer designs and maintains data pipelines, integrates data systems, develops ETL processes, and collaborates on data modeling for operational and AI initiatives.