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Today

Data Engineer I

Summit Utilities Inc Little Rock, AR

Little Rock, AR

Today

Full time Api Based Ingestion Business Systems Data

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Job Description

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

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