Fabric data engineer
About The Position
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Requirements
- 4-8 years of experience in Data Engineering and Analytics Engineering
- Hands-on experience with Microsoft Fabric
- Strong SQL development skills
- Experience with PySpark or Spark SQL
- Experience building ETL/ELT pipelines
- Understanding of Lakehouse and Data Warehouse concepts
- Familiarity with Power BI and semantic modeling
- Experience with cloud platforms, preferably Microsoft Azure
- Knowledge of Git/version control practices
Nice To Haves
- Experience with Medallion architecture (Bronze/Silver/Gold)
- Experience with Dataflows Gen2
- Experience with Fabric Pipelines
- Experience with OneLake
- Experience with Delta tables
- Experience with Direct Lake
- Exposure to Azure Data Factory
- Exposure to Databricks
- Exposure to ADLS Gen2
- Exposure to Event driven architectures
- Understanding of monitoring and observability practices
- Knowledge of data governance and security best practices
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
