Data Engineer (SQL/Python)

• Location: Remote
• Duration: 12-month subcontract

This role is focused on building and optimizing data pipelines, data architecture, and transformation workflows while supporting analytics, reporting, and data science teams. The ideal candidate is a strong SQL/Python data engineer with hands-on experience in modern data platforms (Delta Lake, Medallion architecture) and data quality/governance practices.

Top Must-Have Skills (Screening Focus)

Core Technical:

• Strong SQL (complex joins, unions, query optimization)
• Strong Python (data processing, ETL scripting)
• Hands-on data transformation
• Experience building data pipelines (ETL/ELT)
• Experience with large datasets / data wrangling

Data Engineering / Architecture:

• Data modeling concepts
• Data lineage understanding
• Data quality & governance
• Medallion architecture (Bronze/Silver/Gold)
• Delta Lake or modern data storage

Platform & Analytics:

• Reporting support (Power BI preferred)
• Data ingestion frameworks
• Cross-functional collaboration

Nice-to-Have (Good Differentiators)

• Microsoft Fabric
• Azure DevOps / CI-CD / Git
• Purview or similar (data catalog / lineage)
• Streaming / real-time data exposure
• RBAC / data security

Ideal Candidate Profile

• 3–5+ years in Data Engineering
• Strong problem-solving mindset
• Experience handling multiple concurrent projects
• Good understanding of business requirements → data translation
• Experience in data quality investigation / root cause analysis

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