Top Data Engineer Jobs

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

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.

The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.

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.

The job description is currently labeled as TBD and does not provide specific responsibilities or details.

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.

In this role, you will manage data and application operations, improve processes, provide 24x7 support, and collaborate with various teams to enhance business applications and data integrity.

The Contractor will design and maintain data infrastructure, optimizing data pipelines and implementing best practices for data quality and reliability. Responsibilities include developing API integrations, ETL processes, and documentation, collaborating with stakeholders to translate requirements into technical solutions.

Design and implement near real-time data pipelines and reporting systems. Ensure reliability and scalability of distributed data systems and collaborate with cross-functional teams.

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.

Design and develop Power BI reports and dashboards, integrate data from various sources, and support business stakeholders while ensuring compliance with procedures.

The Data Engineer will design and implement data solutions, optimize data pipelines, analyze data, and contribute to client projects across various industries.

The Senior Data Engineer will architect and implement enterprise data solutions, focusing on data strategy and optimizing data pipelines while collaborating on client projects.

The Data Engineer will architect and implement enterprise data solutions, optimizing data flows and analytics for various industries. Collaboration and data pipeline development are key responsibilities.

Responsible for developing and implementing enterprise data solutions, optimizing data pipelines, and leveraging cloud-based data services for various projects in client-facing teams.

Join Axiom Space as a Data Analyst, focusing on data cleaning, transformation, and visualization using Power BI, SQL, and Python, to support business insights.

The Software Engineer will manage data collection for AI model training, enhance the ingestion pipeline on GCP, and collaborate with the AI team to improve dataset quality and efficiency.

Lead the implementation and integration of a Data Catalog solution, ensuring data governance, metadata management, and compliance across the organization.

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.