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Data Scientist Databricks

QUANTUM TECHNOLOGIES LLCColumbus, OH🇺🇸United StatesPosted Oct 5, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your Databricks and AWS expertise, including Generative AI, on impactful projects with a competitive hourly rate. You'll thrive here if you're a mid-senior Data Scientist with a passion for MLOps and building scalable AI solutions. Apply today to join a dynamic environment and advance your career!

Quick Overview

Salary
$85/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Columbus, OH, United States
Posted
Yesterday
SQLAWSMLOpsAgileDatabricksGenerative AIGoogle CloudLLMPythonTerraformUnity

Job Description

Job Title: Data Scientist Databricks

Location: Columbus, OH

Duration: 6 Months + Extension

Bill Rate: $85/hour

Job Type: C2C Contract

Client: To Be Discussed Later

Work Authorization:

  • USC
  • GC
  • H-1B
  • OPT-EAD
  • GC-EAD


Job Description

  • 3+ years of experience in Data Science, Data Engineering, or ML Engineering.
  • Strong hands-on experience with Databricks, Unity Catalog, Genie, SQL Warehouse, and Compute Setup.
  • Expertise in AWS Cloud, Python, SQL/PL-SQL, and Terraform.
  • Experience developing and managing Databricks Asset Bundles (DABs) and CI/CD pipelines.
  • Strong understanding of MLOps principles and AWS ML services including Sage Maker, ECS, Lambda, SSM Parameter Store, and Event Bridge.
  • Experience implementing Infrastructure as Code (laC) using Terraform.
  • Hands-on experience with Generative AI and LLM technologies, including Open AI, Claude, and Google Cloud Platform LLM models.
  • Experience integrating and deploying AI/ML solutions on Databricks and AWS.
  • Strong knowledge of model deployment, automation, monitoring, and production support.
  • Experience building observability and monitoring dashboards for data/ML platforms.
  • Strong understanding of data pipelines, cloud architecture, security, governance, and enterprise data platforms.
  • Ability to work in a fast-paced Agile environment and collaborate with data, engineering, and business teams.


Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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