Data Engineer

Build and maintain reliable data pipelines and models (SQL Server/SSIS/DBT/Python/Fivetran) and contribute to DataOps, testing, and deployment automation so each work item reaches Ready for QA with high first‑pass quality.

Key Responsibilities

• Develop ETL/ELT components and DBT models following standards and peer review.
• Instrument pipelines with validations and basic observability (logs, metrics, alerts).
• Write unit/integration tests; package and deploy via CI/CD; contribute to documentation and runbooks.
• Support BA in mapping source→target and implementing acceptance criteria; collaborate with Scrum Master on sprint commitments.
• Assist in defect triage and timely remediation within sprint.

Outcomes & KPIs

• Consistent delivery to DoD with improving First‑Pass Quality.
• Adherence to data quality checks; on‑time pipeline runs against schedule.

Qualifications

• 1–10 years in data engineering with strong SQL and working experience in SSIS and/or DBT; Python for transformations/utilities.
• Familiarity with Fivetran connectors, Tableau/SSRS, and Git‑based development; exposure to CI/CD and observability preferred.

Tools & Stack (Pod)

• Data: SQL Server, SSIS, DBT, Python, Fivetran
• BI/Reporting: Tableau, SSRS
• DevOps/Workflow: Azure DevOps (ADO), GitHub (migration/hardening), CI/CD
• Governance: Collibra (lineage/catalog), Apigee/OutSystems (where applicable)

Work Schedule & Collaboration

• US‑hours overlap for reviews and releases; flexible for regression support windows.