Snowflake Data Engineer with Cortex AI

Vdart Inc

  • Nashville, TN
  • 2 days ago

    Highlights

    Snowflake platform engineering, including databases, schemas, virtual warehouses, roles, and secure data sharing patterns as applicable. Design, develop, enhance, and maintain Snowflake data solutions, including databases, schemas, warehouses, and related objects assigned by the client.

    Numbers & Facts

    LocationNashville, TN

    Description

    Role: Snowflake Data Engineer with Cortex AI

    Location: Nashville, TN (100% Onsite, 5 days/week - mandatory)

    Duration: 6 Months Contract

    Need Only Local candidates in Tennessee

    Responsibilities

    • Design, develop, enhance, and maintain Snowflake data solutions, including databases, schemas, warehouses, and related objects assigned by the client.
    • Build and support workloads that use Snowflake Cortex AI, and apply those capabilities to approved business use cases.
    • Analyze approved functional and technical requirements and translate them into maintainable, well-engineered Snowflake solutions.
    • Develop data pipelines, transformations, and integrations required to land, model, and serve data in Snowflake.
    • Write, review, and optimize SQL, and support performance, cost, and warehouse tuning for assigned workloads.
    • Produce source code, configuration changes, unit tests, and supporting technical documentation in client-approved repositories and formats.
    • Participate in technical design reviews, code reviews, backlog refinement, sprint planning, demonstrations, and delivery-status reviews.
    • Perform unit and integration testing, support system and user-acceptance testing, and correct defects attributable to delivered work.
    • Troubleshoot data, pipeline, performance, access, and deployment issues associated with assigned deliverables.
    • Identify and communicate technical risks, dependencies, constraints, and blockers early enough to support timely resolution.
    • Provide knowledge transfer to designated client personnel and complete end-of-engagement transition documentation.

    Technical Competencies

    • Snowflake platform engineering, including databases, schemas, virtual warehouses, roles, and secure data sharing patterns as applicable.
    • Hands-on Snowflake Cortex AI experience. This is a required skill, not a nice-to-have.
    • Strong SQL for data modeling, transformation, and query tuning in Snowflake.
    • Data pipeline and integration experience that loads, transforms, and serves data in Snowflake.
    • Data quality, testing, and documentation practices suitable for an enterprise delivery environment.
    • Troubleshooting of data, performance, access, and deployment issues in a production support capacity.
    • Working knowledge of Agile delivery ceremonies, including sprint planning, backlog refinement, demos, and status reviews.

    Behavioural Competencies

    • Able to work independently in a client environment with limited day-to-day direction.
    • Partners effectively with technical teams and business stakeholders.
    • Communicates clearly in writing and in conversation, and can produce client-ready technical notes and status updates.
    • Surfaces risks, dependencies, and blockers early.
    • Owns assigned work through testing, deployment support, and stabilization.
    • Comfortable transferring knowledge to client personnel, including a formal end-of-engagement transition.

    Required Qualifications

    • 6 to 8 years of relevant professional experience, with demonstrated Snowflake engineering ownership.
    • Hands-on experience with Snowflake Cortex AI.
    • Strong SQL and data-modeling skills in Snowflake.
    • Proven experience with testing, code or design reviews, and Agile delivery practices.
    • Experience troubleshooting production data and platform issues.
    • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
    • Must be authorized to work in the United States for the duration of the engagement.
    • Must be able to work 100 percent onsite, five days per week, in Nashville, Tennessee, for the full engagement. Location is non-negotiable.

    Key Requirements

    • Strong Snowflake engineering experience
    • Hands-on experience with Snowflake Cortex AI (required)
    • Strong SQL and data modeling skills
    • Experience building data pipelines and integrations in Snowflake
    • Production support and troubleshooting experience
    • Agile delivery experience
    • Must be authorized to work in the U.S.
    • Must currently be local to Nashville, TN or able to work onsite in Nashville for the full duration without relocation assistance

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