Data Engineer I

This entry-level Data Engineer I role supports the development, maintenance, and enhancement of enterprise data pipelines and integration solutions. The position focuses on building and validating reliable data workflows in a collaborative environment.

Role Overview

Summit Utilities Inc is hiring a Data Engineer I (SGL17) for a hybrid position in Little Rock, AR. The role contributes to scalable data pipeline development and supports enterprise data integration through orchestration, scripting, and reliable SQL-based transformations.

Responsibilities

• 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.
• Support data quality and reliability by implementing validation checks, alerts, logging, and monitoring, and by 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 through team-based source control and code review practices.
• Participate in standups, sprint planning, and on-call rotations, responding to data support tickets and identifying process improvements and opportunities to adopt new technologies.

Required Qualifications

• 1–3 years of experience in data engineering, ETL development, or data integration roles.
• Bachelor’s degree in computer science, Information Systems, Engineering, or a related field preferred; equivalent combinations of education and relevant experience will be considered.
• 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 building pipelines with both low-code platforms and custom code.
• Solid understanding of relational databases with the 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 document processes, logic flows, and system configurations clearly.
• Effective verbal and written communication with analysts, engineers, and stakeholders; self-motivated, team-oriented, and aligned with PEAKS values and organizational goals.

Relevant 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

Education and Experience

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related field preferred; equivalent combination of education and relevant experience will be considered.
• 1–3 years of experience 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.