Job description

Job Summary: The Data Solutions 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. Minimum Qualifications: (Education, Experience, Knowledge, and Skills): • 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. Job Duties and 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 Working Conditions: • This position is hybrid. You will be required to be in office some during the week. • Occasional,travel may be required for training or meetings. • Must be able to work flexible hours to accommodate different time zones (Central/Eastern/Mountain/Pacific), if necessary. • Be flexible for after-hours tasks, as needed. About Us PowerSecure, a Southern Company subsidiary, is a leading provider of innovative energy solutions to electric utilities and their industrial, institutional, and commercial customers. Join Our Power Team! We invest in high-value and cost-effective benefits for our employees. Our benefits package includes: • 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 The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to assign or reassign duties and responsibilities at any time, based on business needs. PowerSecure is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law

Requirements

Must-haves

Minimum Qualifications: (Education, Experience, Knowledge, and Skills):
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.
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuresqlpythonci/cd

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Pto

Paid Time Off

Wellness