Data Engineer I

DataJobs; Little Rock (AR); Hybrid; USD 60,000 - 80,000; Full time

Benefits offered by this job

Competitive pay

Benefits package

Job summary

Summit Utilities Inc is seeking an entry-level Data Engineer I to support the development, maintenance, and enhancement of enterprise data pipelines in a hybrid Little Rock, AR environment. The role focuses on building reliable data workflows and performing SQL-based transformations across on-prem and cloud data stores.

You will collaborate with Data Analysts and SAP Analysts, participate in standups and sprints, and document data sources, pipeline logic, and data quality checks.

Qualifications

• 1–3 years of data engineering or ETL experience.
• Bachelor’s degree preferred; equivalent experience considered.
• Experience with data pipelines using orchestration tools or scripting.
• Relational databases experience; SQL tuning; cloud exposure.

Responsibilities

• Build and maintain scalable data pipelines and integration workflows.
• Ingest, transform, and stage data; write and optimize SQL queries.
• Ensure data quality with validation checks, logging, and monitoring.
• Document data sources and pipeline logic; manage code with source control.
• Participate in standups and sprints; handle on-call data support.

Skills

Data engineering

ETL development

SQL

Problem solving

Communication

Education

Bachelor's degree

Tools

Orchestration tools

Scripting

Source control

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.