Top Senior Data Engineer Jobs

The Senior Data Analytics Engineer will lead data engineering projects, troubleshoot pipelines, perform data analysis, and develop analytics solutions, collaborating with stakeholders to enhance decision-making.

The Senior Data Engineer will build and maintain data systems, collaborating in an Agile environment to optimize data engineering solutions, lead innovation, mentor juniors, and enhance data analytics capabilities.

The Senior Data Engineer will improve data platforms, implement best practices, and lead initiatives across business teams using various cloud and big data technologies.

The role involves designing and implementing ETL solutions for data integration, conducting testing, and collaborating on data models and architecture documents for a client.

The Sr. Ab Initio Data Integration Engineer will maintain ETL processes, troubleshoot performance issues, and provide documentation for the data warehouse environment.

The Senior Data Integration Developer will design and implement data integration solutions, manage ETL processes, and ensure data quality and compliance by collaborating with cross-functional teams.

As a Senior Data Engineer, you will build data pipelines, improve the data engineering stack, and maintain a data warehouse for analytics. You'll collaborate with teams to ensure data accuracy and contribute to system reliability.

Lead efforts in data engineering, optimizing ETL and data lake processes, ensuring high-quality data for business intelligence and analytics.

Lead scalable data engineering efforts by building and optimizing ETL and data lake processes, ensuring reliable access to actionable data for decision-making across teams.

Lead scalable data engineering efforts, build ETL pipelines, and enhance data infrastructure to support business intelligence and analytics.

Lead scalable data engineering efforts, build ETL pipelines, and ensure data integrity to empower business intelligence and analytics infrastructure.

Lead scalable data engineering efforts, manage ETL and data lake processes, and ensure data integrity for business growth.

Lead scalable data engineering efforts to empower teams with reliable data, optimizing ETL and data lake processes while ensuring data quality and supporting analytics initiatives.

The Senior Data Engineer will lead data engineering efforts, build scalable ETL pipelines, and ensure reliable data for analytics and business intelligence across Launch Potato's operations.

Lead scalable data engineering initiatives to empower cross-functional teams with reliable data, ensuring analytics and business intelligence infrastructure support strategic growth.

Lead data engineering efforts to provide reliable data for strategic decision-making, build ETL processes, and enhance data quality and infrastructure.

Lead data engineering efforts to create scalable ETL processes, manage data lakes, and ensure data quality for strategic business insights.

Lead the development of scalable data engineering solutions, fostering cross-functional collaboration and ensuring data quality to support business intelligence and analytics.

Lead data engineering efforts, build scalable ETL processes, and ensure data quality while collaborating cross-functionally to support business intelligence and analytics needs.

Lead data engineering efforts by building scalable ETL pipelines and data lake infrastructure to support analytics and business intelligence. Collaborate cross-functionally to ensure reliable data delivery and maintain high standards of data quality and performance.

As a Staff Data Engineer, you will own and enhance analytics and data infrastructure, build data pipelines, analyze results, and guide technical direction while collaborating with product and ML teams.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

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.