Senior Data Engineer

Job Description

• Design and develop scalable, reusable data ingestion frameworks using Azure Databricks and PySpark
• Build metadata-driven pipelines that decouple configuration from execution
• Implement and maintain Bronze, Silver, and Gold data layers following Medallion architecture
• Integrate data pipelines with data catalog and governance tools (e.g., DataHub, Purview)
• Implement schema enforcement, data contracts, and data quality checks within pipelines Work with ingestion tools (e.g., Fivetran) and file-based ingestion patterns
• Enable automation for dataset onboarding using configuration-driven approaches
• Collaborate with architecture, governance, and business teams to ensure scalable and governed data access
• Contribute to evolving toward event-driven and near real-time ingestion patterns
• Support CI/CD and DevOps practices for data platform components
• Pay Rate between 50-65/hr We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 8+ years of experience in data engineering or data platform development
• Strong hands-on experience with Azure
• Databricks and PySpark
• Proficiency in Python for data engineering and framework development
• Experience with Delta Lake and lakehouse architecture
• Strong understanding of Medallion architecture (Bronze, Silver, Gold)
• Experience designing reusable and scalable data ingestion frameworks
• Experience working with data catalog / governance tools (DataHub, Purview, Collibra, etc.)
• Solid understanding of: data lineage schema evolution data contracts data quality frameworks
• Experience working with cloud storage (ADLS Gen2) and distributed data processing
• Familiarity with CI/CD pipelines and Git-based workflows