Data Solutions Engineer

Responsibilities

• Design, implement, and support end‑to‑end ELT pipelines (ingest → transform → publish) in Databricks/ADF
• Implement data quality checks (DLT expectations, unit tests) with alerting and remediation runbooks
• Build curated, analytics‑ready Delta tables using dimensional modeling for consumption by BI Developers
• Implement CDC and deletion‑flag patterns; manage schema drift and partitioning/Z‑Ordering strategies
• Operationalize jobs with monitoring, logging, alerting; participate in an on‑call rotation as needed
• Partner with the Data Architect to align designs with standards for governance, security, and cost efficiency
• Document pipelines, data contracts, and SLAs; continuously improve performance and reliability

• 2+ years of hands‑on data engineering (or comparable software engineering with significant data work)
• 2+ years building pipelines on Azure and Databricks (or equivalent cloud + Spark)
• Strong SQL (analytical queries, window functions), PySpark/Spark SQL, and data modeling fundamentals
• Bachelor’s degree in MIS, Computer Science, Engineering, or equivalent experience
• Proficiency with SQL and Python (PySpark), including performance tuning on large datasets
• Experience with Azure Databricks, Delta Lake, Delta Live Tables (DLT), Azure Data Factory (or Fabric Data Pipelines), ADLS Gen2, and Azure Dev Ops/Git for CI/CD
• Working knowledge of Unity Catalog and/or Microsoft Purview for governance, lineage, and security
• Familiarity with data ingestion patterns (files, APIs, JDBC), schema evolution, CDC, and deletion detection patterns
• Understanding of dimensional modeling to produce analytics‑ready datasets for Power BI
• Exposure to orchestration/monitoring, cost optimization, alerting, and runbook‑driven operations
• Data pipeline design (batch & streaming), DLT expectations for data quality, and robust error handling
• Source control, branching strategies, and CI/CD for data assets (notebooks, jobs, workflows)
• Practical understanding of privacy, security, and RBAC in cloud data platforms
• Excellent communication, documentation, and cross‑functional collaboration skills
• Analytical mindset; bias toward automation and measurable reliability
• Applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa sponsorship.