Data Analytics Engineer

    Highlights

    Skills 1 Snowflake 2 Snowpark 3 SQL 4 DBT 5 API Integration 6 Data Modeling 7 Sigma Analytics 8 Medallion Architecture 9 Gold Layer and KPI Validation. Previous offshore resources required significant oversight or were not delivering at the desired pace, increasing the need for a more independent contributor.

    Numbers & Facts

    LocationOR (
    Remote
    )

    Description

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    Data Analytics Engineer

    • Location: Remote, Oregon 97458
    • Work model: On-site
    • Posted 13 days ago
    • Job ID: JPC - 210868

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    Job Description

    Build and enhance the Gold layer within the Snowflake Medallion Architecture.

    Develop and maintain data pipelines using Snowpark and APIs.

    Create and manage data models that support business reporting and analytics.

    Build and refine Sigma dashboards and reporting solutions.

    Work with healthcare operational data, including offices, patients, and appointment-related information.

    Consume API data sources and build ingestion pipelines within Snowflake.

    Potentially perform API post calls directly from Snowflake as part of pipeline development.

    Translate existing data structures into business-ready reporting tables.

    Compare legacy and modernized datasets during migration efforts and identify discrepancies.

    Validate KPI calculations and ensure business definitions are applied consistently.

    Flag data inconsistencies and proactively identify issues that "don't look right."

    Support governance and security initiatives within Snowflake.

    Present technical findings and recommendations through an established request process managed by Paul.

    Collaborate with existing Snowflake resources while independently owning assigned deliverables.

    Current Environment & Challenges:

    Client is building out its Snowflake analytics environment and implementing Sigma as its reporting platform.

    The majority of the initial work will focus on the Gold layer.

    Core data and foundational architecture are already in place; the challenge is producing business-ready tables and reporting assets.

    The organization is migrating away from a legacy system (Jarvis, a Henry Schein product).

    Data inconsistencies exist between legacy and new environments and need to be identified and reconciled.

    KPI definitions are not always standardized. For example, "new patient" may be defined in several different ways:

    Appointment scheduled

    Visit completed

    Revenue earned

    Success in this role requires someone who can identify and challenge inconsistent business logic rather than simply building to specification.

    Previous offshore resources required significant oversight or were not delivering at the desired pace, increasing the need for a more independent contributor.

    Required Skills : 1. Snowflake 2. Snowpark 3. SQL 4. DBT 5. API Integration 6. Data Modeling 7. Sigma Analytics 8. Medallion Architecture 9. Gold Layer and KPI Validation

    Basic Qualification :

    Additional Skills :

    Background Check : Yes

    Drug Screen : Yes

    Notes :

    Selling points for candidate :

    Project Verification Info :

    Exclusive to Client :Yes

    Face to face interview required :No

    Candidate must be local :No

    Candidate must be authorized to work without sponsorship ::No

    Interview times set : :No

    Type of project :

    Master Job Title :

    Branch Code :

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    Job details

    Job ID JPC - 210868

    Location Remote, Oregon, United States

    Work Model On-site

    Job Type C2C

    Posted October 6, 2026

    Skills 1 Snowflake 2 Snowpark 3 SQL 4 DBT 5 API Integration 6 Data Modeling 7 Sigma Analytics 8 Medallion Architecture 9 Gold Layer and KPI Validation

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