

Harnham
Databricks Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Scientist on a 12-month remote contract, paying $90-$110 per hour. Requires 5+ years in Data Science, strong Databricks expertise, Python proficiency, and relevant certifications. Focus on deploying GenAI solutions for enterprise clients.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
880
-
🗓️ - Date
July 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Deployment #Data Science #ML (Machine Learning) #AI (Artificial Intelligence) #Databases #Consulting #Hugging Face #Spark (Apache Spark) #Data Engineering #Databricks #Python #MLflow #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Azure #Cloud #Langchain
Role description
Databricks Data Scientist
Harnham, the leading recruitment specialist in Data and AI, is partnering with a Databricks consulting organisation delivering enterprise‑scale GenAI solutions. They are hiring experienced Forward Deployed Engineers to build and deploy production‑ready AI systems for end clients.
• Role: Databricks Data Scientist
• Location: Remote
• Pay: $90 - $110 per hour W2 (or via your own LLC)
• Length: 12 month contract (extendable)
• Utilization: 40 hours/week
The Role
As a Databricks Data Scientist, you will deliver end‑to‑end GenAI solutions directly to enterprise clients. This is a highly hands‑on, delivery‑focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform.
You’ll work in a client‑facing capacity, owning projects from initial scoping through to production deployment.
Key Responsibilities
• Deliver E2E GenAI solutions on Databricks
• Build RAG and LLM‑based applications using enterprise data
• Implement vector search and agentic workflows (LangChain, etc.)
• Productionise AI systems using CI/CD, MLOps, and cloud pipelines
• Work directly with clients to deploy and optimise AI solutions
Requirements
• 5+ years in Data Science working across multiple model stacks and ML models
• Strong hands‑on expertise with Databricks (Spark, MLflow, Unity Catalog, Agent Bricks, MosaicAI)
• Proficiency in Python and tools such as LangChain, OpenAI, Hugging Face
• Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI)
• Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
• Strong cloud and CI/CD experience (AWS, Azure, or GCP)
• Excellent communication skills for client‑facing delivery
• Databricks certifications (ML Engineer, GenAI, Data Engineer)
Next Steps
If you are interested in this opportunity, please apply below
Databricks Data Scientist
Harnham, the leading recruitment specialist in Data and AI, is partnering with a Databricks consulting organisation delivering enterprise‑scale GenAI solutions. They are hiring experienced Forward Deployed Engineers to build and deploy production‑ready AI systems for end clients.
• Role: Databricks Data Scientist
• Location: Remote
• Pay: $90 - $110 per hour W2 (or via your own LLC)
• Length: 12 month contract (extendable)
• Utilization: 40 hours/week
The Role
As a Databricks Data Scientist, you will deliver end‑to‑end GenAI solutions directly to enterprise clients. This is a highly hands‑on, delivery‑focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform.
You’ll work in a client‑facing capacity, owning projects from initial scoping through to production deployment.
Key Responsibilities
• Deliver E2E GenAI solutions on Databricks
• Build RAG and LLM‑based applications using enterprise data
• Implement vector search and agentic workflows (LangChain, etc.)
• Productionise AI systems using CI/CD, MLOps, and cloud pipelines
• Work directly with clients to deploy and optimise AI solutions
Requirements
• 5+ years in Data Science working across multiple model stacks and ML models
• Strong hands‑on expertise with Databricks (Spark, MLflow, Unity Catalog, Agent Bricks, MosaicAI)
• Proficiency in Python and tools such as LangChain, OpenAI, Hugging Face
• Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI)
• Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
• Strong cloud and CI/CD experience (AWS, Azure, or GCP)
• Excellent communication skills for client‑facing delivery
• Databricks certifications (ML Engineer, GenAI, Data Engineer)
Next Steps
If you are interested in this opportunity, please apply below





