Data Engineer
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.
As the organization continues to scale, this role will play a critical part in modernizing the data
ecosystem, reducing manual reporting, and enabling governed, self-service analytics. Within the first
year, the Data Engineer will build foundational pipelines, support platform modernization efforts, and
improve access to consistent, reliable data across the business.
Key Duties and Responsibilities:
Data Engineering & Architecture
- 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
Data Quality & Reliability
- 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
Analytics Enablement
- Partner with stakeholders to deliver optimized, certified datasets
- Support self-service analytics while maintaining governance standards
- Reduce reliance on manual reporting and ad hoc data request
Platform Integration & Collaboration
- 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
Data Governance
- Support data governance standards, policies, and best practices
- Contribute to data definitions, documentation, and cataloging
- Promote consistent and accurate data usage across the organization
Qualifications
- 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.