Data Solutions Engineer

🕒 April 22

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PowerSecure, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

⚡ Energy

🤝 B2B

🔧 Hardware

Energy • B2B • Hardware

PowerSecure, Inc. is a distributed energy infrastructure company and the nation's leading microgrid developer and operator. It designs, builds, finances and manages microgrids, distributed generation, energy storage, and energy efficiency projects for utilities and commercial and industrial customers, supported by its 24/7 PowerControl monitoring and storm-response services. A Southern Company subsidiary, PowerSecure delivers turnkey, full-lifecycle solutions to improve resiliency, reduce energy costs, and help customers meet sustainability and reliability goals.

📋 Description

• 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

🏖️ 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