Senior Data Engineer-Onsite at Portland, OR

E-Solutions INC

  • Portland, OR
  • 2 days ago

    Highlights

    Perform data profiling, including analysis of keys, cardinality, data types, precision, scale, and data skew. Interested candidates are required to include their LinkedIn URL, email address, and cell phone number along with their resume when submitting their profile.

    Numbers & Facts

    LocationPortland, OR

    Description

    Job Title: Sr. Data Engineer


    Location: Portland, OR Onsite


    Job Type: Contract


    Experience:14+ Years Mandatory

    Interested candidates are required to include their LinkedIn URL, email address, and cell phone number along with their resume when submitting their profile.

    Mandatory Requirements

    Candidates must have strong hands-on experience in the following:

    DBT
    Snowflake
    Advanced SQL
    Python
    Data Modeling
    CI/CD
    Healthcare Domain Experience

    Roles & Responsibilities

    Design and implement scalable data models and data pipelines aligned with business requirements.
    Develop complex DBT models using advanced features, including macros, packages, and custom materializations.
    Work extensively with Snowflake for query and warehouse performance optimization.
    Develop and optimize complex SQL queries using CTEs, complex joins, analytic and window functions.
    Perform data profiling, including analysis of keys, cardinality, data types, precision, scale, and data skew.
    Implement and support data quality and testing frameworks.
    Support CI/CD processes for DBT deployments.
    Develop and maintain data models supporting healthcare and payer-related data requirements.
    Collaborate with business and technical teams to translate requirements into scalable data solutions.

    Key Skills & Expertise

    Advanced SQL CTEs, complex joins, analytic & window functions
    Snowflake query & warehouse performance optimization
    DBT advanced models, macros, packages & custom materializations
    Python intermediate or higher
    Data Profiling keys, cardinality, data types, precision, scale & skew
    Data Quality & Testing Frameworks
    CI/CD for DBT deployments
    Data Modeling
    Healthcare/Payer experience

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