Top Data Engineer Jobs

Lead Data Engineer responsible for designing and maintaining data pipelines, working with cloud technologies, and providing technical leadership in a collaborative environment.

The role involves building data pipelines, developing machine learning models, and improving actuarial and finance functions, collaborating with various teams.

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.

As a Data Analytics Engineer, you will develop data pipelines, support analytics architecture, and create dashboards in a collaborative, startup environment.

As a Sr. Data Engineer, you'll design and build cloud native data systems, optimize pipelines, mentor team members, and ensure data integrity.

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

As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop ETL processes, and work with cloud platforms. Collaboration with teams to ensure data quality and governance while troubleshooting production issues will be key responsibilities.

The Senior Data Engineer will design, build, and maintain scalable party data solutions, integrating cloud-native platforms and improving legacy systems while mentoring junior engineers.

The Staff Data Engineer will build and maintain infrastructure for data ingestion, storage, and reporting to support healthcare analytics and care delivery efforts.

As a Senior Data Engineer, you'll manage and optimize data infrastructure for a healthcare project, ensuring reliability and performance of data systems while developing new capabilities.

The Senior Data Engineer is responsible for building scalable data solutions, collaborating with teams, and mentoring while overseeing data governance and strategy execution.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The role involves building data platforms and pipelines, integrating AI solutions, and collaborating with product owners to address complex client issues.

The Senior Data Engineer develops and maintains data pipelines, collaborates on scalable data solutions, and ensures data security via cloud services.

Design, build, and maintain scalable data architectures using Databricks on AWS or Azure, ensuring data integrity and optimizing workflows.

Lead the development of scalable, cloud-native analytics solutions, design data pipelines, optimize BI solutions, and engage with stakeholders.

Lead scalable data engineering efforts, optimizing ETL and data lake processes to provide actionable insights for cross-functional teams, ensuring quality and integrity of data.

The Senior Data Engineer will lead data engineering projects, build scalable ETL processes, and support cross-functional teams with reliable data.

Lead scalable data engineering initiatives to support BI and analytics, ensuring reliable data for strategic decision-making across teams.

The Senior Data Engineer will lead scalable data engineering efforts, optimizing ETL processes, managing data lakes, and collaborating with BI and analytics teams to ensure data-driven decision-making.

The Lead Data Engineer will manage data engineering efforts, build scalable pipelines, ensure data integrity, and collaborate with BI and Analytics teams to support business growth.

Lead scalable data engineering efforts to provide reliable data for decision-making, build efficient ETL and data lake processes, and support cross-functional teams with data solutions.

Lead data engineering efforts, build scalable ETL processes, manage data infrastructure, and collaborate with cross-functional teams to enhance data-driven decision-making.

Lead scalable data engineering efforts, build and optimize ETL and data lake processes, and ensure analytics infrastructure supports strategic growth across business units.

Lead data engineering efforts, build ETL pipelines and data lake infrastructure, ensure data quality, and support cross-functional analytics and BI teams.