Trace3
W2PE - Engineer
Irvine, CA, United States · Full-time · Posted Sep 24, 2026
- Experience
- 3+ years of hands-on data engineering experience building production ETL/ELT pipelines.
About the job
Build and modernize scalable, metadata-driven ETL pipelines in Microsoft Fabric, implementing medallion data layers and transferring operational knowledge to the existing data-engineering team.
What you'll do
- Develop reusable, metadata-driven pipelines and parameterized Python/PySpark notebooks for scalable, incremental data processing.
- Build and refactor Bronze, Silver, and Gold layers with validation, data-quality controls, and operational monitoring.
- Document architecture and runbooks, and transfer knowledge to the data-engineering team and stakeholders.
What they ask for
- 3+ years of hands-on data engineering experience building production ETL/ELT pipelines.
- Experience designing metadata-driven, parameterized pipelines and proficiency in Python notebook-based processing (PySpark or equivalent).
- Hands-on experience with Microsoft Fabric and/or Databricks, including notebooks, Lakehouse/Warehouse objects, and orchestration; experience implementing medallion architecture.
- Working knowledge of SQL and relational data warehousing concepts; experience with cloud analytics platforms.
Nice to have
- Experience migrating pipelines from Azure Data Factory or similar platforms; familiarity with Power BI semantic models.
- Microsoft Fabric or Databricks certifications; consulting or client-delivery experience.
Pay
$120 — $150 USD (base salary; period not stated)
Tools
Microsoft Fabric, Python, PySpark, Databricks, SQL, Azure, Azure Data Factory, Power BI
Model-written summary · the original posting is authoritative