Databricks Engineer

SGI; United States; Remote; USD 170,000 - 720,000; Part time

Job summary

A leading tech driven organization is looking for a Databricks Engineer to join their data platform team. This role requires proven expertise in Databricks, strong skills in Python and SQL, and hands-on experience with data pipelines. Remote work is available across the US, and the candidate must be a US Citizen or Green Card holder. The role is contract-based with the potential for a 6-12 month period.

Qualifications

• Proven expertise in Databricks, including Delta Lake, Spark, and MLflow.
• Hands-on experience building and optimizing large-scale data pipelines.
• Must be a US Citizen or Green Card holder due to client requirements.

Responsibilities

• Join a high impact data platform team.
• Build and optimize data pipelines and workflows.
• Work with automation and DevOps practices.

Skills

Expertise in Databricks

Strong Python skills

Proficient in SQL

Experience in cloud environments

Knowledge of CI/CD and DevOps

Education

Databricks certifications (Certified Data Engineer Associate/Professional)

Tools

Azure

AWS

Airflow

dbt

Job description

Expert Staffing for Databricks Success in the US!

We’re currently supporting a leading tech driven organization looking to bring on a Databricks Engineer to join their high impact data platform team.

What we’re looking for:

Proven expertise in Databricks (including Delta Lake, Spark, and MLflow)

Databricks certifications (e.g., Databricks Certified Data Engineer Associate/Professional or Machine Learning Associate/Professional)

Hands-on experience building and optimizing large-scale data pipelines and workflows

Strong Python and SQL skills

Experience working in a cloud environment (Azure or AWS preferred)

Solid grasp of CI/CD, automation, and DevOps practices for data pipelines

Must be a US Citizen or Green Card holder due to client requirements

Nice to have:

• Exposure to ML workloads on Databricks
• Experience with orchestration tools (Airflow, dbt, etc.)
• Understanding of data governance and security best practices

Duration: 6–12 months (with potential for extension)

Remote across the US

If you’re certified in Databricks and excited about scaling modern data platforms, we’d love to connect.

Drop me a message or apply directly to discuss the role in more detail!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting and IT Services and IT Consulting

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