Top Senior Data Engineer Jobs

As a Senior Data Engineer, you will design robust ETL processes, maintain data infrastructure, and collaborate to optimize data access and analytics.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

The Staff Data Engineer will design and implement data warehousing solutions, lead design discussions, mentor engineers, and tackle complex data challenges while ensuring data quality and insights delivery.

The Senior Data Engineer will manage end-to-end data processes, develop ETL/ELT pipelines, and provide analytics-ready outputs using Python, Azure, and Snowflake.

The Senior Data Engineer leads the development of data services and solutions, designs data models, and implements improvements in data architecture, ensuring high-quality data processing and compliance with business needs.

The Principal Data Analytics Engineer will design complex data models, optimize querying processes, mentor team members, and ensure data quality across financial datasets.

Lead the design and development of scalable data solutions, improve Ad Relevancy, and mentor junior engineers in a collaborative environment.

Design and maintain scalable data pipelines, ensuring accurate delivery and governance of data across the organization while collaborating with cross-functional teams.

The Senior Data Engineer will manage data pipelines, ensuring data quality and optimizing ML workflows while supporting multiple engineering teams across locations.

Lead the design and development of data pipelines and analytics solutions. Collaborate with finance to provide insights and ensure data quality.

The Senior Data Engineer leads data engineering efforts, coordinating project execution and collaborating with teams to develop data solutions for Navy and DoD programs.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Data Engineer, you will design and optimize data platforms, build data pipelines, mentor team members, and drive technical excellence while collaborating with cross-functional teams.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

As a Staff/Principal Data Platform & Analytics Engineer, you'll design cloud platforms, enhance data architecture, and lead analytics solutions for fleet reliability and site utilization.

The Principal Data Engineer leads the integration and optimization of data solutions, writes advanced SQL, automates processes using Python, and ensures data governance.

As a Senior Data Engineer, you'll optimize and maintain data platforms, develop integrations, and collaborate cross-functionally to enhance analytics and decision-making capabilities.

The Data Integration Engineer will design and build scalable data pipelines and manage data warehouses, integrating various data sources and ensuring data quality and operational reporting.

As a Sr. Data Engineering Consultant, you will build and optimize scalable data solutions and mentor teams while collaborating with clients on data modernization projects.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The Senior Data Engineer will lead data discovery efforts for USSOCOM, managing data classification, tools deployment, and ensuring network performance while enhancing security measures.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.