Data Engineer

United StatesCincinnatimid
EngineeringData EngineeringData EngineerData & AI
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Quick Summary

Overview

The Data Engineer will be responsible for designing, building, and maintaining the organization’s enterprise data platform to support scalable operations, reliable reporting,

Technical Tools
EngineeringData EngineeringData EngineerData & AI

The Data Engineer will be responsible for designing, building, and maintaining the
organization’s enterprise data platform to support scalable operations, reliable reporting, and data-driven
decision-making. This role serves as the technical owner of data integration across key systems and will
establish structured pipelines, standardized data models, and quality controls to create a trusted single
source of truth.

Responsibilities

~1 min read
  • Design and maintain scalable data pipelines integrating enterprise systems
  • Build and manage centralized data warehouse structures
  • Develop ETL/ELT processes to automate data ingestion and transformation
  • Create standardized, reusable data models aligned with business definitions
  • Implement automated validation and monitoring to ensure data accuracy
  • Identify and resolve discrepancies across systems and reports
  • Establish data lineage and improve dataset performance and reliability
  • Support system integrations across operational and internally developed platforms
  • Provide input into platform design and data structure standardization
  • Collaborate with technical and business teams to align data solutions with business needs
  • Support data governance standards, policies, and best practices
  • Contribute to data definitions, documentation, and cataloging
  • Promote consistent and accurate data usage across the organization

 

Requirements

~1 min read
  • Bachelor’s Degree in Computer Science, Information Systems, or related field (or equivalent
    experience)
  • 4+ years of experience in data engineering, database development, or related roles
  • Strong SQL and relational data modeling expertise
  • Experience building ETL/ELT pipelines and data warehouse solutions (Azure preferred)
  • Cloud platform experience (Azure preferred)
  • Experience with business intelligence tools (Power BI preferred)
  • Experience integrating multiple systems into centralized data environments
  • Experience with low-code platforms (e.g., QuickBase) and programming experience (Python, C#, JavaScript, or similar) preferred.

 

UASI provides a growth environment with opportunities for high achievers to be rewarded. We offer
a benefit package with compensation aligned to contribution and success. 

Listing Details

First seen
March 26, 2026
Last seen
April 21, 2026

Posting Health

Days active
25
Repost count
0
Trust Level
23%
Scored at
April 21, 2026

Signal breakdown

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UasiData Engineer