Top Senior Data Engineer Jobs

As a Senior Data Engineer, you will design and maintain data pipelines and warehouse architecture, ensure data quality, and partner with cross-functional teams.

The Senior Data Engineer designs and maintains data pipelines and infrastructure for business intelligence, collaborates with teams, and mentors junior engineers.

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.

Lead the design and optimization of data pipelines, mentor junior engineers, establish data standards, and collaborate on data solutions.

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

The Data Engineer will design, build, and maintain data architectures and pipelines, ensuring data integrity and performance while collaborating with various teams to deliver impactful insights and solutions for business intelligence and analytics.

As a Senior Data Engineer, you will own GCP-based analytics infrastructure, design scalable data pipelines, and collaborate with engineering teams on data solutions.

The Senior Data Engineer will provide technical vision, lead data engineering initiatives, manage cloud infrastructure, and ensure quality data pipelines while coordinating with various 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.

Lead the design and development of data pipelines, mentor junior engineers, and implement best practices for data systems optimization and governance.

Design, build, and operate scalable data architectures and ETL/ELT pipelines across cloud and on-prem systems; enable ML/analytics, ensure data quality and compliance, mentor junior engineers, and support 24/7 reliability.

Lead design, build, and maintenance of scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow. Own data & ML platform (Terraform, Databricks), improve observability, data quality, and developer tooling, and partner closely with Data Science and engineering teams.

Lead and mentor technical resolution of complex Data & AI production issues for customers, deep-dive into data pipelines and AI workflows, troubleshoot Spark/Delta/DLT/Model Serving, influence product improvements, and guide architects to build performant, reliable Databricks-based solutions.

The Senior Data Engineer will architect and maintain data platforms, build scalable data infrastructure, mentor teams, and drive healthcare data improvements and product integration.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

The Senior Data Engineer will design and implement data management systems, develop ETL processes, and maintain CI/CD pipelines for a government client.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

As a Senior Data Engineer, you'll manage, optimize, and expand data infrastructure for a clinical data registry, focusing on enhancing data systems and reliability while developing new capabilities.

The Sr. Data Engineer designs and maintains data infrastructure, develops ETL processes, and collaborates with teams for optimal data accessibility and performance.

The Senior Data Engineer will build and maintain ELT pipelines, manage data workflows, and improve the data warehouse quality while ensuring data integrity and accessibility for stakeholders.

Seeking a Senior Data Engineer to develop scalable data solutions and pipelines on Databricks and AWS, ensuring data quality and promoting engineering excellence.