Submit Resume

Back Submit

Data Engineer

  • Minnesota, Richfield

  • 08/25/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    Support data engineering and data warehousing initiatives with a focus on Azure Data Factory, Databricks, Informatica, relational databases, and healthcare data.
    Develop and maintain data pipelines, ETL processes, stored procedures, and data solutions supporting structured and unstructured data.
    Work with evolving technologies and business requirements to deliver reliable, optimized data solutions.

    Key Responsibilities
    • Analyze project requirements and develop detailed specifications for ETL requirements.
    • Develop and maintain ETL pipelines using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools.
    • Work with Azure Data Factory (ADF) and Databricks to develop and support data engineering solutions.
    • Develop and maintain stored procedures using Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
    • Process structured and unstructured data, including data in HL7 and FHIR formats.
    • Work with relational databases such as Oracle, Snowflake, and SQL Server.
    • Troubleshoot and optimize data pipelines to ensure reliability and performance.
    • Work with source control systems such as Azure DevOps, GitHub, SVN, or similar platforms.
    • Adapt data engineering solutions to evolving technologies and changing business requirements.

    Required Qualifications
    • 9+ years of Data Engineering experience with a focus on Data Warehousing.
    • 5+ years of experience working with Azure Data Factory (ADF) and Databricks.
    • 5+ years of experience developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools.
    • 5+ years of experience with relational databases such as Oracle, Snowflake, SQL Server, or similar platforms.
    • 5+ years of experience creating stored procedures using Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
    • 3+ years of experience with Python scripting.
    • 3+ years of experience with Azure DevOps, GitHub, SVN, or similar source control systems.
    • 2+ years of experience processing structured and unstructured data.
    • Experience with HL7 and FHIR standards and processing files in these formats.
    • 3+ years of experience analyzing project requirements and developing detailed specifications for ETL requirements.
    • Excellent problem-solving and analytical skills, with the ability to troubleshoot and optimize data pipelines.
    • Bachelor’s or Advanced Degree in a related field such as Information Technology, Computer Science, Mathematics, Statistics, Analytics, or Business.

    Preferred Qualifications
    • 3+ years of batch or PowerShell scripting.
    • 3+ years of data modeling experience in a data warehouse environment.
    • Experience or familiarity with Spark and Azure Data Fabric.
    • Experience designing and building APIs in Snowflake and ADF, such as REST and RPC.
    • Experience with State Medicaid, Medicare, or Healthcare applications.

    Certifications
    • Azure certifications related to data engineering or data analytics.

.

.

.