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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

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.

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