Sr. Data Engineer

Welcome to United Utility Services, a dynamic player in the electric utility industry. As a trailblazer, we provide comprehensive and innovative offerings that bolster power infrastructure investments across the U.S. We proudly serve as the parent company to industry‑leading utility service contractors specializing in transmission, substation, distribution, and grid hardening projects. Our Core Values are clear and simple:
Safety, Quality, Integrity, and Professionalism. At United Utility Services, we craft power delivery solutions – built safe, engineered smart, and driven by what customers demand – fueling communities with reliable energy. We are the best‑in‑class, trusted partner delivering customer‑centric Power Delivery Construction and Engineering solutions.

The salary range for this position is $ - $ annually. Final compensation will be determined based on experience, qualifications, and overall fit for the role.

Benefits include medical, dental, and vision insurance;
Health Savings Account (HSA) and Flexible Spending Account (FSA) options where applicable; 401(k) with company match; paid time off; company‑paid holidays; and short and long‑term disability.

We are seeking a hands‑on Data Architect to personally design, build, and operationalize our enterprise data platform. This is an individual‑contributor role for someone who can define strategy and execute it directly in a lean environment.

Our organization is 100% cloud
‑
based and Microsoft
‑
centric
, operating across a diverse portfolio of vendor‑hosted applications. This role will unify those disparate data sources using Azure, Microsoft Fabric, Power Platform, Dataverse, and Azure SQL
, laying the foundation for governed analytics, self‑service reporting, and future AI initiatives.

Strong candidates will have a practical mix of data engineering, analytics, and business application experience, with comfort working across both Microsoft/Azure tools and other modern data platforms.

This position is ideal for a pragmatic architect who prefers owning outcomes end‑to‑end
, rather than operating only at the conceptual or oversight level.

• Design and personally implement core components of the enterprise data architecture using Microsoft Fabric (Lakehouse, Warehouse, One Lake) and Azure data services.
• Build and maintain data ingestion and transformation pipelines
  , integrating data from multiple SaaS and vendor‑hosted systems
  .
• Develop enterprise data models (conceptual, logical, physical) that directly support reporting and operational use cases.
• Enable analytics, Build reports, and self‑service reporting through Power BI, Power Platform, and Dataverse
  .
• Strong SQL skills, including data modeling, transformations, query optimization, and troubleshooting.
• Experience building reliable data pipelines using Python, APIs, cloud storage, and modern data integration tools.
• Familiarity with cloud data platforms such as Snowflake, Databricks, Azure SQL / Synapse / Fabric, Big Query, Redshift, or similar environments.
• Experience working with structured and semi‑structured data sources, including REST APIs, JSON, CSV, Excel, databases, and SaaS exports.
• Familiarity with data transformation, orchestration, and integration tools such as dbt, Airbyte, Fivetran, Dagster, Airflow, Git Hub Actions, or similar platforms.
• Experience with Git‑based development workflows and basic software engineering practices.
• Interest in AI‑enabled analytics, automation, and internal tools, including practical use of AI coding assistants and LLM‑based workflows.

• Experience with business intelligence and reporting tools, especially Power BI, including data modeling, Power Query,…