Data Engineer Jobs in Durham, NC

Design, build, and maintain BI-ready datasets, dashboards, and monitoring tools for high-throughput lab operations. Implement process monitoring (SPC), ensure data quality and audit readiness, perform root-cause analysis, and partner with Data Science to deploy predictive models that improve throughput, quality, and compliance.

Designs and implements cloud-first, event-driven data solutions and ETL pipelines for data warehouses (Snowflake/Oracle). Leads architecture, CI/CD, QA, and Agile delivery; mentors teams; builds scalable backend systems using AWS, APIs, and automation tools. Ensures project delivery on time and within budget while advising senior management on technical strategy.

Lead database engineering for mission-critical platforms: administer Oracle and other databases, perform performance analysis and query tuning, design database solutions and replication, run POCs for new technologies, define standards for operations/migrations/onboarding, collaborate with enterprise teams, and produce technical documentation.

Lead regional data visualization and IT solutions: design dashboards, integrate and normalize data sources, translate business needs into functional specs, manage projects and vendors, and drive adoption of contemporary visualization tools and best practices.

Design, build, and operate end-to-end ELT data pipelines on Azure/Databricks. Implement DLT data quality checks, CDC, schema evolution, dimensional models for Power BI, monitoring, CI/CD, and operational runbooks while partnering with architects and BI stakeholders.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

Design and build scalable data solutions for cybersecurity analytics: develop ETL/data pipelines, execute migrations, and create complex data models. Build Power BI reports and ensure data quality, security, and production reliability. Mentor engineers, integrate CI/CD and automated testing, and collaborate with product owners to translate requirements into technical work.

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

Design, build, and maintain scalable ETL pipelines and data models for a multi-terabyte investment data platform. Optimize database performance, support production systems (on-call), and apply DevOps and Agile practices to deliver high-quality data engineering solutions for asset management use cases.