Data Engineer I (Hybrid) — ETL, SQL & Cloud

Summit Utilities; Fayetteville (AR); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Summit Utilities is hiring a Data Engineer I to support development, maintenance, and enhancement of enterprise data pipelines and integration solutions. This entry‑level role collaborates with senior engineers, analysts, and DBAs to implement reliable data solutions across on‑prem and cloud platforms.

Ideal candidates have 1–3 years of ETL, SQL scripting, and data integration experience, with ownership and curiosity to grow in an enterprise environment.

Qualifications

• Bachelor’s degree or equivalent in a related field and 1–3 years of data engineering, ETL development, or data integration experience.
• Experience building or maintaining data pipelines using orchestration tools and/or scripting.
• Experience with relational databases and SQL; exposure to cloud data environments and collaborative source control.

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; write and optimize SQL queries, views, and stored procedures.
• Monitor data quality, reliability, alerts, and logging; collaborate with analysts and data stakeholders to ensure accurate delivery.
• Document data sources, pipelines, and transformations; participate in standups and sprint planning.

Skills

ETL development

SQL scripting

Data orchestration

Low-code platforms

Cloud data environments

Source control

Data pipelines

Analytical thinking

Education

Bachelor’s degree in Computer Science / Information Systems / Engineering

Tools

ETL tools

Orchestration tools

Low-code platforms

Git / Source control

Job description

Summit Utilities is hiring a Data Engineer I to support development, maintenance, and enhancement of enterprise data pipelines and integration solutions. This entry‑level role collaborates with senior engineers, analysts, and DBAs to implement reliable data solutions across on‑prem and cloud platforms.

Ideal candidates have 1–3 years of ETL, SQL scripting, and data integration experience, with ownership and curiosity to grow in an enterprise environment.