Analytics Engineer Two Jobs (NOW HIRING)

Join our growing team and discover why Summit Utilities, Inc. continues to earn national and regional recognition as an employer of choice. Our recognitions include Best Places to Work in Maine (2019–2025); Best Places to Work in Arkansas (2020, 2023, 2025); Best Places to Work in Oklahoma (2022–2025); Best Places to Work in Missouri (2023 and 2026); Best Places to Work in Colorado (2025); Forbes America’s Best Small Employers (2023); and, most recently, Proud and Purposeful Employer (2026).

Summit is a growing natural gas utility that’s committed to delivering reliable energy to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.

We have an exciting hybrid opportunity for an Analytics Engineer II (SGL17) based in Denver, CO.

POSITION SUMMARY

Summit Utilities is seeking an Analytics Engineer II to design, develop, test, and maintain enterprise-grade analytics data products that power reporting, regulatory submissions, and operational decision-making across the company. Engineers at this level are expected to work independently on dbt model development within Microsoft Fabric and Azure SQL environments, owning specific subject areas (e.g., billing, AMI, SAP, customer) end-to-end – from source profiling through deployment and monitoring. This role is essential to delivering trustworthy, well-modeled, and well-tested datasets that bridge raw source data and business analytics. Ideal candidates bring 3–6 years of experience, proficiency in SQL and dbt, an understanding of data governance and metadata management, and the ability to translate analytical requirements into durable, well-documented data products.

PRIMARY DUTIES AND RESPONSIBILITIES

• Design, build, and maintain dbt models that transform source data into governed, analytics-ready datasets across one or more subject areas.
• Write and maintain dbt schema tests (not_null, unique, accepted_values, relationships) and source freshness checks to enforce data quality SLAs.
• Optimize SQL transformations for performance, cost-efficiency (CU usage), and maintainability within Microsoft Fabric and Azure SQL environments.
• Investigate root causes of data discrepancies across upstream and downstream systems, partnering with Data Engineers to remediate pipeline issues.
• Gather and document data requirements from Data Analysts, business partners, and regulatory teams, translating them into dbt model designs.
• Implement and maintain dbt project structure including refs, sources, YAML configs, packages (dbt_utils, dbt_expectations), and incremental materializations.
• Author clear, business-friendly documentation in dbt’s documentation site, including model purpose, column definitions, and lineage notes.
• Partner with Data Engineers on pipeline requirements and collaborate on shared standards for ingestion, modeling, and monitoring.
• Contribute to source control and CI/CD workflows for dbt projects, including pull request review and deployment automation.
• Support testing and validation for pipeline enhancements, schema changes, and source onboarding.
• Mentor Analytics Engineer I peers through pair-programming, code review, and knowledge sharing.
• Participate in team standups, sprint planning, code reviews, and architecture discussions.
• Build working knowledge of utility data domains (billing, AMI, SCADA, SAP, GIS) and the data quality needs of each operational system.

EDUCATION AND WORK EXPERIENCE

KNOWLEDGE, SKILLS, ABILITIES

• Proficient SQL for querying, transformation, and analysis – comfortable with complex joins, CTEs, window functions, and subqueries
• Working knowledge of dbt: ability to develop models, write schema tests, use packages, and understand refs and sources.
• Solid understanding of ETL/ELT concepts and the data lifecycle from ingestion through consumption
• Familiarity with data governance and metadata management practices
• Ability to gather requirements, document assumptions, and translate analytical needs into dbt model designs.
• Skilled at root cause analysis and triage across upstream and downstream systems
• Working knowledge of cloud data platforms, with hands-on experience in Microsoft Fabric or Azure SQL preferred
• Familiarity with API integrations, flat file ingestion (CSV, JSON, XML), and SAP data structures
• Ability to work independently and own portions of project delivery from requirements through deployment.
• Strong written documentation habits and ability to communicate technical decisions to teammates and stakeholders.
• Proficiency with source control tools (Git, Azure DevOps, GitHub) and collaborative development practices
• Working knowledge of natural gas distribution and utility data systems (billing, AMI, SCADA), and an understanding of data quality needs across operational systems
• Friendly, solution-oriented team player aligned with Summit’s PEAKS values.

Salary based on experience $90K to $111K USD Annually

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and/or skills required of all personnel so classified.

Summit offers competitive pay and medical/dental/vision and other benefits that provide flexibility, choice, and support to our employees when they need it most. We understand that home and family are essential pieces of your life, and our benefits are designed to support you both at work and at home.

Summit Utilities, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status and will not be discriminated against on the basis of disability or veteran status.