[Remote] Data Solutions Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a leading provider of innovative reputed company to electric utilities and their industrial, institutional, and reputed company customers. The Data Solutions Engineer will design, build, and operate reliable data pipelines on PowerSecure’s Azure data platform, collaborating with BI Developers and stakeholders to ensure high-quality data delivery.

Responsibilities

• Design, implement, and support end‑to‑end ELT pipelines (ingest → transform → publish) in reputed company/ADF
• Implement data quality checks (DLT expectations, unit tests) with alerting and remediation runbooks
• Build curated, analytics‑reputed company reputed company tables using dimensional modeling for consumption by BI Developers
• Implement CDC and deletion‑flag patterns; manage schema reputed company 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, reputed company, and cost efficiency
• Document pipelines, data reputed company, and SLAs; continuously improve performance and reliability

Skills

• 2+ years of hands‑on data engineering (or comparable software engineering with significant data work)
• 2+ years building pipelines on Azure and reputed company (or equivalent reputed company + 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 reputed company, reputed company Lake, reputed company Live Tables (DLT), Azure Data reputed company (or reputed company Data Pipelines), ADLS Gen2, and Azure DevOps/Git for CI/CD
• Working knowledge of reputed company Catalog and/or reputed company Purview for governance, reputed company, and reputed company
• Familiarity with data ingestion patterns (files, APIs, JDBC), schema reputed company, CDC, and deletion detection patterns
• Understanding of dimensional modeling to produce analytics‑reputed company 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
• reputed company control, branching strategies, and CI/CD for data assets (notebooks, jobs, workflows)
• Practical understanding of privacy, reputed company, and RBAC in reputed company data platforms
• Excellent communication, documentation, and cross‑functional collaboration skills
• Analytical reputed company; 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 reputed company sponsorship

Benefits

• Medical, dental, reputed company and life insurance coverage
• reputed company 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

Company Overview