United Utility Services, LLC is seeking a hands-on Sr. Data Engineer to design, build, and operationalize a 100% cloud, Microsoft-centric enterprise data platform. This individual-contributor role emphasizes end-to-end ownership, unifying disparate vendor-hosted sources for governed analytics, self-service reporting, and future AI initiatives. Work is based onsite in Spring, TX and focuses on delivering outcomes in a lean IT environment.
What you’ll do
- Design and personally implement core enterprise data architecture components using Microsoft Fabric (Lakehouse, Warehouse, OneLake) and Azure data services.
- Build and maintain data ingestion and transformation pipelines integrating data from multiple SaaS and vendor-hosted systems.
- Create enterprise data models (conceptual, logical, physical) to support reporting and operational use cases.
- Deliver analytics and self-service reporting using Power BI, Power Platform, and Dataverse.
- Use strong SQL for data modeling, transformations, query optimization, and troubleshooting.
- Build reliable pipelines using Python, APIs, and cloud storage with modern integration tools.
- Work with cloud data platforms such as Snowflake, Databricks, Azure SQL / Synapse / Fabric, BigQuery, Redshift, or similar environments.
- Integrate structured and semi-structured sources including REST APIs, JSON, CSV, Excel, databases, and SaaS exports.
- Use tools such as dbt, Airbyte, Fivetran, Dagster, Airflow, and GitHub Actions (or similar) for transformation, orchestration, and integration.
- Apply Git-based development workflows and basic software engineering practices.
- Support AI-enabled analytics and internal tools, including practical use of AI coding assistants and LLM-based workflows.
- Improve Power BI and dataset performance through modeling, aggregation strategies, and Fabric/Azure SQL optimization.
- Ensure reports draw from governed, consistent datasets to reduce duplication and conflicting metrics.
- Partner with business users and analysts to translate reporting requirements into data models and reusable datasets.
- Define and execute a phased enterprise data strategy and establish standards balancing scalability, cost, and usability.
- Implement practical data governance, including data ownership and stewardship, quality rules and monitoring, and metadata/documentation/lineage standards.
- Coordinate with IT security to ensure security, access controls, and compliance requirements are met.
- Serve as a technical authority on enterprise data decisions and provide light mentorship as data practices mature.
Required qualifications
- 7+ years in data architecture, data engineering, or analytics architecture roles.
- Strong hands-on experience with Microsoft Fabric.
- Strong hands-on experience with Microsoft Excel.
- Strong hands-on experience with Azure SQL.
- Strong hands-on experience with Power BI.
- Strong hands-on experience with Power Platform / Dataverse.
- Strong hands-on experience with Databricks.
- Strong hands-on experience with Python.
- Strong hands-on experience with Snowflake.
- Strong hands-on experience with Synapse.
- Strong hands-on experience with REST APIs, JSON, CSV, Excel, databases, and SaaS exports.
- Experience integrating data across multiple SaaS/vendor platforms.
- Proven ability to design and build cloud-native data architectures.
- Solid understanding of data governance implemented in real environments (not just frameworks).
Technology focus
Microsoft Fabric (Lakehouse, Warehouse, OneLake), Azure data services, Azure, Azure SQL, Power Platform, Power BI, Dataverse, Power Apps, Power Automate, Power Query, DAX, Power BI datasets, semantic models, SQL, Python, REST APIs, APIs, JSON, CSV, Excel, dbt, Airbyte, Fivetran, Dagster, Airflow, GitHub Actions, Git-based development workflows, Snowflake, Databricks, Synapse, BigQuery, Redshift, Microsoft Purview, LLM-based workflows.
Benefits
- 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
- Short- and long-term disability
Preferred
- Experience with Microsoft Purview or similar governance tooling
- Azure or Fabric certifications
- Experience establishing data foundations in cloud-only organizations
- Bachelor’s degree in computer science, Data Engineering, Business Administration, or a related field
Additional details
Salary range: USD 130,000 - 150,000 per year. Final compensation is determined based on experience, qualifications, and overall fit for the role.
Posting date: 9/23/2026. Minimum posting date: 10/02/2026.
How to apply
Candidates may apply by clicking the apply button in this posting on the company careers page: https://unitedutility.com/careers.
Accessibility
If you need an accommodation as part of the employment process, contact HRSC@unitedutility.com.
Important policy notes
- United Utility Services, LLC does not accept unsolicited resumes or candidate submissions from third-party recruiters or staffing firms.
- Resumes submitted without a signed, written agreement with the Company and outside the approved HR/Recruiter process will not be reviewed.
- Applicants may be asked: “Are you currently employed by the Company?”
- This opportunity is being communicated internally in accordance with the Company’s Recruiting Transparency and Opportunity Notice process. Current employees are encouraged to apply via the careers page.
