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Role: Azure Data Engineer
Location: Frisco, TX / Bellevue, WA - Onsite
W2 Position
Exp: 7
Must Have Skills
Bachelor''s degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field — plus 4 years of related work experience.
4 years of hands-on data engineering experience delivering production data pipelines in enterprise environments.
Strong proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation.
Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
Hands-on experience with Snowflake at production scale.
Working experience with Microsoft Fabric including OneLake; familiarity with Fabric IQ semantic layer concepts.
Working experience building data visualizations and reports in Power BI.
Experience implementing data ingestion pipelines using batch, CDC, API, or streaming patterns within a unified ingestion framework.
Solid data modeling skills, including dimensional modeling and lakehouse modeling patterns at the physical implementation level.
Role: Azure Data Engineer
Location: Frisco, TX / Bellevue, WA - Onsite
W2 Position
Exp: 7
Must Have Skills
- Databricks
- Snowflake
- Microsoft Fabric
- PySpark
- Azure
- Delta Lake
- Python
- SQL
- ETL/ELT Development
- Data Modeling
Bachelor''s degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field — plus 4 years of related work experience.
4 years of hands-on data engineering experience delivering production data pipelines in enterprise environments.
Strong proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation.
Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
Hands-on experience with Snowflake at production scale.
Working experience with Microsoft Fabric including OneLake; familiarity with Fabric IQ semantic layer concepts.
Working experience building data visualizations and reports in Power BI.
Experience implementing data ingestion pipelines using batch, CDC, API, or streaming patterns within a unified ingestion framework.
Solid data modeling skills, including dimensional modeling and lakehouse modeling patterns at the physical implementation level.