Data Solutions Engineer

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 DevOps 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.

Required Skills

• 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, DevOps, 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.