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New River Electrical Corporation (NREC) is seeking a hands‑on Senior Data Engineer to help build and mature our Data and Analytics practice. In this role, you will be responsible for designing, building, and managing the foundational data architecture that connects our core enterprise business systems, including ERP, HRIS, and field‑based applications.

This role requires a blend of high‑level architectural vision and deep technical execution. You will evaluate the current data landscape, implement modern integration pipelines, and establish governance standards to ensure data integrity across the enterprise. As a key partner to the business, you will ensure our data initiatives are aligned with stakeholder needs to drive operational efficiency for both our corporate and field‑based workforce.

• Data Architecture Foundation: Design, build, and optimize NREC’s centralized data environment (warehouse/lake), ensuring it is scalable, secure, and interoperable across all enterprise systems.
• Pipeline Engineering: Develop, maintain, and automate robust ETL/ELT pipelines to extract and integrate data seamlessly between SaaS platforms, custom applications, and field‑operation tools.
• Data Governance & Quality: Establish and enforce data governance frameworks, standardize data definitions, and ensuring rigorous data accuracy, quality, and security across the organization.
• Business Intelligence Enablement: Partner with department heads to understand their operational pain points and reporting needs, developing foundational dashboards and self‑service analytics capabilities.
• Tool Evaluation & Strategy: Lead the discovery and assessment of modern data tools and platforms, ensuring investments provide maximum value and align with NREC’s specialized operational requirements.
• Stakeholder Alignment: Serve as a dedicated partner and advocate for business units, translating complex data concepts into clear, actionable insights for corporate leadership and field operations management.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

This is a full‑time position in the corporate office. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m.

• Experience: Requires 7+ years of IT/data experience, with a proven track record of architecting, building, and scaling data infrastructure.
• Technical Proficiency: Must have a strong "hands‑on" background in SQL, Python, cloud data platforms (e.g., Azure, AWS), and modern ETL/ELT tools. Experience with Microsoft’s data and BI ecosystem—specifically Microsoft Fabric and Power BI—is a strong plus. Familiarity with modern integration patterns and API management is also highly preferred.
• Industry Context: Experience in the construction industry or supporting a diverse workforce with significant field‑based (non‑office) operations is strongly preferred.
• Leadership & Influence: Demonstrated history of working independently as a technical lead, with the ability to help scale and mentor a future data team.
• Communication: Exceptional interpersonal skills with the ability to communicate technical roadmaps, business cases, and data insights to non‑technical business executives.
• Education: B.S. in Computer Science, Information Systems, a related field, or equivalent professional experience.

• Expected travel of 10% to 20% to visit regional offices, field sites, or attend vendor/industry conferences as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee is required to sit at a desk and work on a computer for prolonged period of time.

It has been and will continue to be a fundamental policy of the Company not to discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or status as a veteran, or any other basis protected by applicable federal, state or local law, with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.