Data Engineer Jobs in Durham, NC

The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.

Collaborate to design, deploy and automate secure data infrastructure. Ensure data quality and compliance while mentoring team members. Drive innovative data solutions.

The Principal Data Engineer is responsible for designing, developing, and maintaining scalable BI solutions and data pipelines using various technologies in a financial services environment.

Design, build, and maintain scalable single- and multi-tenant data solutions and RESTful APIs using SpringBoot, Java, and Python. Implement ETL/ELT processes, develop and tune database code (PL/SQL, Snowflake, Azure SQL), perform data modeling and cataloging (PII mapping with Alation/Big ID), and support deployments, QA readiness, mentoring, and technical strategy for stakeholders.

Design and implement large-scale Snowflake-based data platforms, migrate on-prem databases to AWS/Snowflake, build ETL/ELT pipelines and data lakes, create dimensional models, maintain CI/CD and scheduling (Control-M), provide technical leadership and modernization guidance, and develop performant data solutions across multiple database platforms.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

Responsible for IT strategy and solutions in R&D, overseeing system integration, stakeholder collaboration, and project prioritization at Zoetis.

As a Senior Full-stack Software Engineer, you will develop web applications for test automation, optimize data processing pipelines, and collaborate with teams to deliver scalable data solutions.

The Senior Data Engineer modernizes and tests software applications, builds scalable ETL pipelines, and optimizes data integration in AWS environments.

The Senior Data Engineer designs and maintains robust database solutions, supports microservices, manages cloud databases, and ensures system performance and resilience.

Designs, builds, and maintains cloud-based ETL/ELT data pipelines and platforms on AWS/Azure (Airflow, Snowflake). Develops CI/CD pipelines, performs DevOps, database development, data architecture, testing, and supports multiple project phases to deliver reliable, reusable data solutions.

Lead scalable data engineering efforts, optimizing ETL and data lake processes to support BI and analytics teams while ensuring data accuracy and reliability.

Lead scalable data engineering efforts, build ETL pipelines, ensure data quality, and collaborate with teams to drive analytics and business insights.