Data Engineer I

Summit Utilities Inc is hiring an entry-level Data Engineer I to help deliver and improve enterprise data pipelines and integration workflows in a hybrid environment in Little Rock, AR.

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
• Write, troubleshoot, and optimize SQL queries, views, and stored procedures
• Implement data quality and reliability practices using validation checks, alerts, logging, and monitoring
• Partner with Data Analysts and SAP Analysts to validate datasets and confirm accurate delivery
• Document data sources, pipeline logic, and transformations in shared repositories
• Manage code using team-based source control and support code review practices
• Participate in standups, sprint planning, and on-call rotations
• Respond to data support tickets and identify opportunities to improve processes and adopt new technologies

Requirements

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related field preferred; equivalent combination of education and relevant experience 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
• 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 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
• Ability to document processes, logic flows, and system configurations clearly
• Effective verbal and written communication with analysts, engineers, and stakeholders
• Self-motivated, team-oriented, aligned with PEAKS values and organizational goals

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

Location: Little Rock, AR (hybrid)

Position Summary: Data Engineer I (SGL17) supports development, maintenance, and enhancement of enterprise data pipelines and integration solutions, building and validating reliable data solutions in a collaborative, enterprise-scale environment.