Sr. Data Engineer

DataJobs; Spring (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

HSA/FSA options

401(k) with company match

Paid time off

Company holidays

Disability insurance

Job summary

United Utility Services, LLC is hiring a hands-on Sr. Data Engineer in Spring, TX (onsite) to design, build, and operationalize a Microsoft-centric, 100% cloud enterprise data platform.

The role combines architecture ownership with direct implementation across ingestion, modeling, governance, and analytics enablement. This hands-on architect/engineer will unify disparate data sources, enable self-service reporting with Power BI, and drive AI-enabled analytics initiatives while ensuring

Qualifications

• 7+ years in data architecture, data engineering, or analytics architecture roles.
• Hands-on experience with Microsoft Fabric.
• Hands-on experience with Azure SQL and Power BI.
• Hands-on experience with Power Platform / Dataverse.
• Strong Databricks, Python, and SQL skills.
• Experience with Snowflake, Synapse, and cloud-native data architectures.
• Experience integrating data across multi‑source SaaS/vendor platforms.
• Solid governance understanding and practical data quality practices.

Responsibilities

• Design and implement core components of the enterprise data architecture using Microsoft Fabric and Azure data services.
• Build and maintain data ingestion and transformation pipelines across multiple systems.
• Develop enterprise data models to support reporting and analytics use cases.
• Enable analytics and self-service reporting through Power BI, Power Platform, and Dataverse.
• Develop data governance practices including data ownership, quality, and lineage.
• Coordinate with IT security for access control and compliance.
• Mentor junior staff as data practices mature.

Skills

Data architecture

Data governance

Cloud-native design

Analytics enablement

Stakeholder collaboration

Education

Bachelor's degree in CS / related field

Tools

Microsoft Fabric

Azure SQL

Power BI

Dataverse

Power Platform

Databricks

Snowflake

Synapse

dbt

Airflow

GitHub Actions

Power Query

DAX

REST APIs

JSON

CSV

Excel

Job description

United Utility Services, LLC is hiring a hands‑on Sr. Data Engineer in Spring, TX (onsite) to design, build, and operationalize a Microsoft-centric, 100% cloud enterprise data platform. The role combines architecture ownership with direct implementation across ingestion, modeling, governance, and analytics enablement.

Role Overview

This position serves as a hands‑on data architect responsible for end‑to‑end outcomes. The scope includes unifying disparate, vendor-hosted data sources for governed analytics, self‑service reporting, and future AI initiatives, while translating business and operational needs into actionable data solutions.

Responsibilities

• Design and personally implement core components of the enterprise data architecture using Microsoft Fabric (Lakehouse, Warehouse, OneLake) and Azure data services.
• Build and maintain data ingestion and transformation pipelines that integrate multiple SaaS and vendor-hosted systems.
• Develop enterprise data models (conceptual, logical, physical) that support reporting and operational use cases.
• Enable analytics and self‑service reporting through Power BI, Power Platform, and Dataverse.
• Use strong SQL skills across data modeling, transformations, query optimization, and troubleshooting.
• Build reliable data pipelines using Python, APIs, cloud storage, and modern data integration tools.
• Apply experience with cloud data platforms such as Snowflake, Databricks, Azure SQL / Synapse / Fabric, BigQuery, Redshift, or similar environments.
• Work with structured and semi‑structured sources, including REST APIs, JSON, CSV, Excel, databases, and SaaS exports.
• Use data transformation, orchestration, and integration tools such as dbt, Airbyte, Fivetran, Dagster, Airflow, GitHub Actions, or similar platforms.
• Use Git‑based development workflows and basic software engineering practices.
• Support AI‑enabled analytics and automation, including practical use of AI coding assistants and LLM‑based workflows.
• Improve reporting through Power BI modeling and performance tuning using Power Query and DAX, including dashboard development.
• Work with Microsoft Power Platform components including Power Apps, Power Automate, and Dataverse.
• Design and implement analytics‑ready data models optimized for reporting and performance.
• Build and maintain Power BI datasets, semantic models, and shared data sources for operational reporting, financial and performance reporting, and executive dashboards.
• Ensure reports rely on governed, consistent datasets to reduce duplication and conflicting metrics.
• Partner with business users and analysts to understand reporting requirements and translate them into data models and reusable datasets.
• Enhance report performance, reliability, and refresh stability using appropriate modeling, aggregation strategies, and Fabric/Azure SQL optimization.
• Define a practical, phased enterprise data strategy and roadmap aligned to business priorities.
• Establish architectural standards balancing scalability, cost, and usability.
• Personally implement data governance practices, including data ownership and stewardship models, data quality rules and monitoring, plus metadata, documentation, and lineage standards.
• Coordinate with IT security to ensure security, access control, and compliance requirements are met.
• Partner with IT, Finance, Operations, and business leaders to deliver data solutions that are usable and trusted.
• Act as a technical authority on enterprise data decisions and provide light mentorship as data practices mature.

Requirements

• 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.

Technologies

• 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 Qualifications

• 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.

Position Type

• Hands‑on
• Architect + builder
• Individual contributor
• Outcome‑driven in a lean IT organization
• Not a pure governance or policy role
• Not a BI‑only or reporting developer role
• Not dependent on a large data engineering team