Senior Data Engineer
Skills
Azure Data FactoryComputer ScienceAnalyticsBusiness InsightsData StrategiesDimensional ModelingModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Information Technology or related field or equivalent experience
- 5+ years of experience
- 7+ years in data engineering with senior-level production delivery
- 5+ years hands-on SQL programming
- 3+ years building automated data pipelines using batch and/or streaming processes
- Strong SQL plus Java or Python for pipeline development
- Hands-on experience across multiple cloud stacks including GCP Azure BigQuery and SQL Server
- Deep experience designing and operating reliable scalable ETL/ELT pipelines
- Hands-on with at least one orchestration tool such as Airflow Cloud Composer ADF Dagster or Prefect
- Strong data modeling skills including dimensional modeling normalization and slowly-changing dimensions
- Working knowledge of HIPAA and PHI handling including secure movement de-identification access controls and audit
- Track record delivering on enterprise cloud platforms within standards and controls
- Proficient with Git and CI/CD
Nice to have
- Performance-minded
- Strong communicator
- Enterprise-focused
- Detail-oriented
Day to day
- Design and build scalable ETL and ELT pipelines across cloud and database platforms
- Model data for analytics using dimensional design SCDs and schema best practices
- Orchestrate and monitor production pipelines while ensuring secure handling of PHI and clear stakeholder communication
Hiring process
- Submit an application
- Request reasonable accommodation if needed via Human Resources email