Top Data Engineer Jobs

The role requires expertise in GCP for AI and Analytics, overseeing solutions architecture, code approvals, data governance, and feature roadmaps while collaborating with development teams.

The Senior Data Engineer will develop and maintain data reporting stacks, manage data services, and collaborate with stakeholders to design data solutions.

As a Lead Data Engineer, you will architect data foundations for AI applications, lead a team, optimize data pipelines, and ensure data governance.

The role involves designing and developing ETL pipelines and middleware for migrating legacy HR data into Oracle Fusion HCM, ensuring data quality and transformation success for federal agencies.

The Senior Data Engineer will design and operate the data platform, build ELT/ETL pipelines, optimize data performance, and ensure data quality while collaborating with business 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.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

The Sr. Data Engineer will design and maintain data pipelines, enhance data reliability, and collaborate with trading strategists to improve platform capabilities.

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.

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

The Senior Data Engineer will design, build, and optimize data pipelines and models, lead a team, and work with stakeholders to deliver data-driven solutions for a Federal client.

The Data Systems & Integration Engineer designs and maintains data pipelines, integrates data systems, develops ETL processes, and collaborates on data modeling for operational and AI initiatives.

The Senior Data Engineer will optimize the data platform, build scalable data pipelines, improve data access and quality, and establish data engineering discipline within the company.

As a Senior Data Engineer, you'll build ETL pipelines, design data ingestion systems, and maintain a multi-cloud ecosystem while collaborating with Data Scientists to transform data into business insights.

The Senior Data Engineer leads complex data initiatives, designing and optimizing data pipelines, ensuring data quality, and collaborating with stakeholders for analytics solutions.

The Senior Data Engineer will lead the development of data warehouse solutions, overseeing data applications on AWS and on-premises while collaborating with various stakeholders to meet business goals.

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

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.

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.

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.

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.

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

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.

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.