Data Management and Analytics Engineer

    Highlights

    You'll work with modern cloud data platforms, engineer robust data pipelines, and collaborate with analytics and AI teams to shape innovative business outcomes. Exposure to GenAI, Agentic AI, Retrieval-Augmented Generation (RAG), knowledge graphs, ontologies, and semantic models.

    Numbers & Facts

    LocationOR (
    Remote
    )

    Description

    • Current Openings
    • Veterans Program
    • Working With Indotronix
    • Referral Program

    All current openings

    Data Management and Analytics Engineer

    • Location: Remote, Oregon 97458
    • Work model: On-site
    • Posted Yesterday
    • Job ID: JPC - 211922

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    Job Description

    Data Management and Analytics Engineer

    About the Role

    Join our dynamic team as a Data Management and Analytics Engineer and drive the future of data-driven solutions. You'll work with modern cloud data platforms, engineer robust data pipelines, and collaborate with analytics and AI teams to shape innovative business outcomes. This is a remote, contract-to-hire opportunity designed for experienced professionals seeking impactful projects and growth in a collaborative environment.

    Responsibilities

    • Architect, build, and optimize scalable data pipelines using SQL, Python, ETL/ELT frameworks.
    • Develop and maintain data solutions on Snowflake and leading cloud platforms.
    • Implement data modeling, ensure high data quality, and manage metadata and data lineage.
    • Integrate data sources via APIs and support both batch and real-time data processing.
    • Utilize Git, CI/CD pipelines, and automated testing for seamless deployment.
    • Collaborate with analytics, data governance, and AI teams to deliver trusted and actionable data solutions.

    Required Skills and Experience

    • 5-8+ years in data engineering, cloud data platforms, and enterprise data integration.
    • Advanced proficiency in SQL, Python, ETL/ELT, and data modeling.
    • Hands-on experience with Snowflake or similar cloud data platforms.
    • Strong focus on data quality, metadata management, and data lineage.
    • Practical knowledge of Git, CI/CD, and REST APIs.

    Preferred Skills

    • Familiarity with Kafka, Change Data Capture (CDC), dbt, Collibra, Ataccama, Power BI, AWS, OpenShift, and Kubernetes.
    • Exposure to GenAI, Agentic AI, Retrieval-Augmented Generation (RAG), knowledge graphs, ontologies, and semantic models.

    Benefits

    • 100% remote work flexibility
    • Contract-to-hire growth opportunity
    • Collaborative, innovation-focused work environment
    • Opportunity to work on cutting-edge analytics and AI initiatives

    How to Apply

    Ready to help shape the future of data management and analytics? Submit your resume today and take the next step in your data engineering career.

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    Interested in this role?

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    Job details

    Job ID JPC - 211922

    Location Remote, Oregon, United States

    Work Model On-site

    Job Type Contract to Hire

    Posted October 28, 2026

    Skills Word

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