Data Solutions Engineer

    Highlights

    Key Skills: Python | Apache Airflow | Snowflake | SQL | Data Engineering | ETL/ELT | Data Ingestion | Data Quality | AI/LLM | Vector Databases | Knowledge Graphs | APIs | Git | CI/CD | DevOps | Data Governance | Security & Compliance. The Digital Transformation and Data Intelligence team is seeking an experienced Data Solutions Engineer to build scalable data products, automation, and AI-enabled solutions.

    Numbers & Facts

    LocationLehi, UT

    Description

    Job Title: Data Solutions Engineer
    Location: Lehi, UT Onsite
    Duration: 6+ Months
    Experience: 6–8 Years

    Job Description:
    The Digital Transformation and Data Intelligence team is seeking an experienced Data Solutions Engineer to build scalable data products, automation, and AI-enabled solutions.
     
    Key Responsibilities:
    • Develop and support scalable data pipelines, data streams, schemas, interfaces, and automation workflows.
    • Build data pipelines using Python, Apache Airflow, Snowflake, and SQL.
    • Develop enterprise data ingestion solutions for structured, unstructured, batch, and real-time data.
    • Prepare and stage data for AI/LLM applications, Vector Databases, and Knowledge Graph (KG) Databases.
    • Implement data quality, validation, governance, security, access controls, and compliance practices.
    • Develop APIs, automation workflows, and intelligent solutions to reduce manual effort.
    • Follow engineering best practices including Git, testing, CI/CD, code reviews, documentation, monitoring, and production support.
    • Integrate and optimize data from internal and external systems.
    • Participate in technical design and code reviews and leverage AI-assisted development tools effectively.
     
    Required Skills:
    • 5+ years of experience in Data Engineering, Analytics Engineering, Software Engineering, or Automation Engineering.
    • Strong hands-on experience with Python and SQL.
    • Strong experience with Apache Airflow and Snowflake.
    • Experience building reliable data pipelines, data models, APIs, and automated workflows.
    • Experience with cloud data platforms, data warehouses, Git, and CI/CD/DevOps.
    • Strong understanding of Data Quality, Governance, Security, Access Controls, and Production Reliability.
    • Experience with LLMs / AI-assisted development tools.
    • Strong communication and problem-solving skills.
     
    Key Skills: Python | Apache Airflow | Snowflake | SQL | Data Engineering | ETL/ELT | Data Ingestion | Data Quality | AI/LLM | Vector Databases | Knowledge Graphs | APIs | Git | CI/CD | DevOps | Data Governance | Security & Compliance


     

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