Api Based Ingestion Engineer Jobs

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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 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.

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