Data Engineer # 4885
On-siteDurham, North Carolina, United States
Job Summary
Build, evolve, and support dashboards, reports, and real-time monitoring tools for functional teams and executives that clearly communicate findings and drive data-informed decisions. Implement process monitoring systems to track and stabilize process health, while defining, governing, and reporting KPIs for throughput, quality, efficiency, and compliance. Collect, cleanse, and analyze process and production data from high-throughput lab environments, providing rapid data extracts to expedite troubleshooting and root-cause investigations. Develop predictive analytics and models to anticipate process, equipment, and quality issues, ensuring data integrity through robust testing and observability. Maintain comprehensive process documentation compliant with ISO, CLIA, CAP, NYS, GMP, and FDA requirements to ensure audit readiness.
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field
- 5+ years of relevant experience as a data analyst, analytics engineer, or data engineer delivering production-grade datasets, dashboards, and reports
- 3+ years of data modeling experience (dimensional/semantic)
- 2+ years building dashboards and reports in a modern BI platform (e.g., Tableau)
- Proficiency in SQL and at least one programming language (Python or R)
- Hands-on experience with AWS analytics services (e.g., Redshift, S3, Glue, Managed Airflow) and/or Snowflake
- Experience working with SaaS application data sources (e.g., NetSuite, Salesforce, Workday, Coupa)
- Proven expertise in process analytics, SPC, statistical methods, and root-cause analysis (e.g., JMP, Minitab; SQL; Python/R)
- Demonstrated ability to collaborate with stakeholders and system users to deliver robust solutions and measurable results
- Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory operations
Desired Qualifications
- 5+ years of laboratory operations experience in regulated medical device, diagnostics, or biotechnology settings
- Master's preferred
- Experience deploying and scaling process monitoring in high-throughput or automated environments
- Knowledge of end-to-end clinical lab workflows (sample shipment; pre-analytical, analytical, and post-analytical phases)
- Strong understanding of regulatory and QMS frameworks (GMP, ISO 13485, ISO 15189, CLIA, CAP, NYS, FDA)
- Excellent leadership, communication, and cross-functional collaboration skills
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.