Data Engineer I — Hybrid, Enterprise Pipelines

Summit Utilities; Denver (CO); Hybrid; USD 89,000 - 106,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible benefits

Job summary

Summit Utilities, Inc. in Denver, CO seeks a Data Engineer I (SGL17) to develop, maintain, and enhance enterprise data pipelines across on-prem and cloud systems in a hybrid work model.

This entry-level role supports senior engineers and analysts, requires 1–3 years in ETL, SQL scripting, and data integration, and emphasizes quality, documentation, and timely delivery in a collaborative environment.

Qualifications

• Bachelor's degree in computer science, information systems, engineering, or related field preferred.
• 1–3 years in data engineering, ETL development, or data integration roles.
• Experience with data pipelines, orchestration tools, and cloud data environments.
• Strong SQL skills and ability to write/optimize queries and procedures.
• Attention to data quality, documentation, and collaboration with analysts.

Responsibilities

• Build and maintain scalable data pipelines and integration workflows across on-prem and cloud systems.
• Ingest, transform, and stage structured and semi-structured data; optimize SQL queries and procedures.
• Support data quality with validation checks, alerts, logging, and monitoring; collaborate with analysts.
• Document data sources, pipeline logic, and transformations; use team source control and reviews.
• Participate in standups, sprints, and on-call rotations; improve processes and adopt new tech.

Skills

ETL development

SQL scripting

Data pipelines

Cloud data environments

Data quality & monitoring

Documentation

Education

Bachelor's degree in CS/IS/Engineering

Tools

Orchestration tools

Low-code platforms

Source control

Scripting

Job description

Summit Utilities, Inc. in Denver, CO seeks a Data Engineer I (SGL17) to develop, maintain, and enhance enterprise data pipelines across on-prem and cloud systems in a hybrid work model.

This entry-level role supports senior engineers and analysts, requires 1–3 years in ETL, SQL scripting, and data integration, and emphasizes quality, documentation, and timely delivery in a collaborative environment.