Data Engineer I

Summit Utilities Inc is hiring a Data Engineer I to help strengthen enterprise data pipelines and integration solutions in a collaborative, high-impact environment. This hybrid role is based in Little Rock, AR, and focuses on building and validating dependable data workflows across on-prem and cloud systems.

What you’ll do

• Build and maintain scalable, reliable data pipelines and integration workflows using modern orchestration tools, low-code platforms, and custom scripting across on-prem and cloud systems.
• Ingest, transform, and stage structured and semi-structured data into enterprise data repositories, including writing, troubleshooting, and optimizing SQL queries, views, and stored procedures.
• Help ensure data quality and reliability through validation checks, alerts, logging, and monitoring, partnering with Data Analysts and SAP Analysts to validate datasets and confirm accurate delivery.
• Document data sources, pipeline logic, and transformations in shared repositories, and manage code using team-based source control and code review practices.
• Participate in standups, sprint planning, and on-call rotations, responding to data support tickets and identifying opportunities to improve processes and adopt new technologies.

What you’ll need

• Education: Bachelor’s degree in computer science, Information Systems, Engineering, or a related field (preferred). Equivalent combination of education and relevant experience will be considered.
• Experience: 1–3 years in data engineering, ETL development, or data integration roles.
• Experience building or maintaining data pipelines using orchestration tools and/or custom scripting.
• Practical experience with relational databases, including writing and tuning SQL, plus exposure to cloud-based data environments and collaborative source control.
• Working knowledge of modern data orchestration and workflow automation tools, including pipelines built with both low-code platforms and custom code.
• Solid understanding of relational databases, with ability to write and debug T-SQL or PL/SQL (exposure to cloud data engineering concepts preferred).
• Understanding of data integration concepts, including file transfers (FTP/SFTP), API-based ingestion, data staging, source control, and deployment automation.
• Strong problem-solving and analytical skills with attention to data accuracy and reliability, plus the ability to clearly document processes, logic flows, and system configurations.
• Effective verbal and written communication with analysts, engineers, and stakeholders, with a self-motivated, team-oriented approach aligned with PEAKS values and organizational goals.

Tools and technologies

SQL, T-SQL, PL/SQL, ETL, FTP, SFTP, API-based ingestion, data staging, SAP, stored procedures, views, source control, code review, low-code platforms.

Benefits

• Competitive pay
• Medical/dental/vision and other benefits