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Snowflake Data Engineer With Cortex Ai

  • Snowflake Data Engineer With Cortex Ai job type Posted on: Nov 12, 2026
  • Snowflake Data Engineer With Cortex Ai experience level VDart Inc
  • Snowflake Data Engineer With Cortex Ai employment type Nashville, Tennessee
  • Snowflake Data Engineer With Cortex Ai employment type Onsite
  • Snowflake Data Engineer With Cortex Ai salary CTC

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Job Title :

Snowflake Data Engineer With Cortex Ai

Job Type :

Contract

Job Location :

Nashville Tennessee United States

Remote :

No

Jobcon Logo Job 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

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

102433-5195

Employment:

CTC

City:

Nashville

Job Origin:

CIEPAL_ORGANIC_FEED

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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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