> Markdown version of [/jobs/ext/1658483-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/1658483-data-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer - **Company:** TRC - **Location:** Manassas, VA, United States - **Experience:** Experienced - **Salary:** $132,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Geographic Information Systems, Bash Shell, Business Systems, C++ (Programming Language), Client Server Models, Cascading Style Sheets (CSS), Cloud Computing, Information Systems, Crystal Reports (Reporting Software), Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Job Scheduling, Python (Programming Language), Meta-Data Management, Pentaho Data Integration, Performance Tuning, Windows PowerShell, Power BI, SQL Databases, SQL Server Integration Services, Systems Architecture, Tableau (Software), Technical Data Management Systems, Scripting, SOAPAPI, Microsoft Fabric, Information Technology, Data Analytics, Restful APIs, Software Version Control, Data Pipelines - **Published:** July 16, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17598870?backUrl=%2Fcareer%2F17598870%2FData-Analytics-Engineer-Virginia-Manassas ## About the Role Strong experience with ETL design and maintenance using SSIS, Pentaho, and Python. - Proficiency in SQL scripting for data extraction, transformation, and optimization. - Experience building and maintaining data pipelines across multiple business systems. - Hands-on experience with Power BI, Tableau, Crystal Reports, and Report Builder. - Strong understanding of Microsoft Fabric, including Data Factory, Lakehouse, and Synapse. - Excellent problem-solving and data modeling skills. - Ability to translate technical data into actionable business insights. - Excellent written and oral communication skills; strong documentation discipline. - Minimum 5 years of experience in data analytics or data engineering. - At least 3 years working with enterprise reporting or ETL solutions. - Bachelor's Degree in Computer Science, Data Analytics, Information Systems, or a related field. DESIRED SKILLS - Experience working within Electric Utility IT environments. - Programming & Scripting (SQL, Python, .NET, C++, Java, JavaScript, HTML/CSS, Bash, Shell, PowerShell, REST & SOAP services) - System Architecture (Virtual and Physical, Cloud, Hybrid, Middle Tear and Client Server) - Familiarity with Work Management, GIS, Financial, and Customer Service systems. - Proficiency in data governance, metadata management, and performance tuning. - Experience with ETL orchestration, job scheduling, and version control. - Strong collaboration and analytical mindset to work across teams. ## Description The Data Analytics Engineer will design, develop, and maintain robust data pipelines, analytical workflows, and reporting solutions to support operational and strategic decision-making. This role bridges data engineering and analytics by ensuring high-quality data movement across systems, building insightful dashboards, and supporting enterprise analytics initiatives across multiple business domains, including Electric Outage Management, Work Management, GIS, Financials, and Customer Services. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [JavaScript? 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