About the position
The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecure’s Azure data platform to enable trusted analytics and self-service BI. This role partners with BI Developers, the Data Architect, and business stakeholders to ingest, model, and deliver high-quality data using Azure Data Factory, Databricks (PySpark/Spark SQL), and Delta Lake (including Delta Live Tables). Responsibilities include batch/stream ingestion, data transformation (ELT), orchestration, data quality enforcement, and operational support.
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
Requirements
• 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 DevOps/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.
Benefits
• Medical, dental, vision and life insurance coverage
• Competitive pay and a matching 401 (k) plan
• Vacation, Company Holidays, Paid Time Off (PTO- personal and sick days)
• Flexible spending accounts/Health savings account
• Wellness Incentive Programs
• Employee Referral Program
• Tuition Reimbursement
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