Data Solutions Engineer
Job in
Lehi, Utah County, Utah, 84043, USA
Listed on 2026-08-12
Listing for:
Galaxy i Technologies, Inc.
Full Time
position Listed on 2026-08-12
Job specializations:
-
Software Development
Data Engineering, AI Engineer (Applied/Software), SQL Developer
Job Description & How to Apply Below
Location: Lehi, UT
Work Arrangement: Onsite
Job Description
We are seeking an experienced Data Solutions Engineer to build scalable data products, automation workflows, and AI-enabled data solutions. This is a hands-on role focused primarily on data engineering, data pipelines, enterprise data ingestion, data quality, and AI/LLM data preparation.
Key Responsibilities- Design, develop, and support scalable data pipelines using Python, Airflow, Snowflake, and SQL.
- Build enterprise data ingestion solutions for structured, unstructured, and real-time data.
- Develop data schemas, interfaces, APIs, automation workflows, and reusable data solutions.
- Prepare and stage data for Vector Databases and Knowledge Graph (KG) Databases supporting AI/LLM use cases.
- Implement data quality, validation, governance, security, and access-control practices.
- Integrate and optimize data from internal and external systems.
- Build automation solutions that improve data quality, reduce manual effort, and increase operational efficiency.
- Follow Dev Ops engineering practices including Git, CI/CD, testing, code reviews, monitoring, documentation, and production support.
- Collaborate with business stakeholders, analysts, architects, and engineers to translate requirements into production-ready solutions.
- Leverage LLMs and AI-assisted development tools while validating outputs and maintaining engineering quality.
- 6–8 years of experience in Data Engineering, Software Engineering, Analytics Engineering, or a related field.
- Strong hands-on expertise in Python and SQL.
- Experience developing reliable data pipelines, data models, APIs, and automated workflows.
- Strong experience with Apache Airflow for data orchestration.
- Hands-on experience with Snowflake or similar cloud data platforms/data warehouses.
- Experience with enterprise data ingestion across structured, unstructured, and real-time data.
- Understanding of AI/LLM data preparation, including data staging for Vector DBs and Knowledge Graphs.
- Experience with Git, Dev Ops, CI/CD, testing, and production support.
- Strong understanding of data quality, governance, security, access controls, and reliability.
- Ability to work independently and deliver solutions across multiple systems and business domains.
- Strong communication and problem-solving skills.
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