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Contract Databricks Developer Jobs in California

Arbital Health

AI Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Built by the industry's leading VBC actuaries and engineers, Merlin AI makes complex contract ... Experience with Airflow, Databricks, and AWS or GCP * Ability to ship extremely high-caliber code ...

Arbital Health

AI Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Built by the industry's leading VBC actuaries and engineers, Merlin AI makes complex contract ... Experience with Airflow, Databricks, and AWS or GCP * Ability to ship extremely high-caliber code ...

Arbital Health

AI Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Built by the industry's leading VBC actuaries and engineers, Merlin AI makes complex contract ... Experience with Airflow, Databricks, and AWS or GCP * Ability to ship extremely high-caliber code ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Contract Need 15+ years of experience resumes. Role Overview We are seeking an experienced AI/ML ... Design ML architectures aligned with Databricks Lakehouse on Azure. Data Engineering & Lakehouse ...

Mondo

Lead Engineer

Los Angeles, CA · On-site

$130K - $150K/yr

ASAP Duration: (contract, perm, etc) FTE Perm Compensation Range: $130K-150K - 12% performance ... Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark

Right Skale, Inc.

Sr Data Engineer

Fremont, CA · Hybrid

$125.30K - $150.50K/yr

Strong experience with big data tools (Databricks, Spark etc.) and programming skills in PySpark ... DevOps and CI/CD deployments, Cloud migration methodologies, and processes. Job Type: Contract (W2 ...

Right Skale, Inc.

Sr Data Engineer

Fremont, CA · On-site

$146.80K - $176.30K/yr

Strong experience with big data tools (Databricks, Spark etc.) and programming skills in PySpark ... DevOps and CI/CD deployments, Cloud migration methodologies, and processes. Job Type: Contract (W2 ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA

Data Scientist Full-Time / Contract (W2/*) Austin, TX 78757 (or) Tampa, FL 33602 - Austin location ... Databricks (Azure). Work closely with commercial, supply chain, and engineering teams to build ML ...

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Contract Databricks Developer information

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the most commonly searched types of Databricks Developer jobs in California? The most popular types of Databricks Developer jobs in California are:
What are popular job titles related to Contract Databricks Developer jobs in California? For Contract Databricks Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in California look for? The top searched job categories for Contract Databricks Developer jobs in California are:
What cities in California are hiring for Contract Databricks Developer jobs? Cities in California with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you

AI Engineer

Arbital Health

San Francisco, CA • On-site

$134.90K - $162K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.
We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth.
We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital, Valtruis and other leading investors. In our first 2 years, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting.
We recently launched Merlin AI, the first VBC AI assistant that allows users to interact with complex VBC contracts & performance data in natural language and visualize it on demand. Built by the industry's leading VBC actuaries and engineers, Merlin AI makes complex contract performance data conversational, transparent, and instantly actionable.
We are looking for a hands-on AI Engineer who can help build Merlin's next-generation conversational AI experiences. This role requires a technologist who excels at the intersection of advanced AI models, large-scale systems, and a customer-focused approach.
Is this role right for you?
If you want to make an impact on the US healthcare system, the idea of Merlin excites you, and the following matches your skills, experience, and interests:
  • Hands-on experience with prompt engineering, model testing, and automated evaluation techniques for conversational AI.
  • Development and deployment of a data-intensive product on a SaaS platform
  • Programming in Python and SQL
  • You strive for technically sound solutions that enhance user workflows, demonstrating a talent for iterative improvement and rigorous testing

Impact:
As an AI engineer at Arbital Health, you'll play a pivotal role in shaping the future of value-based healthcare through intelligent automation. You'll help unlock insights from complex financial, clinical, and actuarial data by:
  • Help advancing our AI architecture for interacting with complex and unstructured healthcare contract & financial data, delivering real-time analytics and visualizations
  • Driving the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment
  • Dramatically reducing analytics time for strategic decision-making

Responsibilities:
  • Develop Arbital's next-generation conversational AI
  • Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital's AI strategy
  • Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues
  • Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures

Requirements:
  • 3+ years of experience in data-intensive, SaaS platform development projects
  • More than one year in machine learning or AI-related roles
  • Familiarity with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
  • Familiarity with AI orchestration frameworks like LangChain, CrewAI, ADK, etc.
  • Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations.
  • Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex).
  • Experience with Cloud ML Services like AWS Bedrock, SageMaker, and Google Vertex AI
  • Experience with Airflow, Databricks, and AWS or GCP
  • Ability to ship extremely high-caliber code and build exceptional products
  • Passionate about improving and innovating
  • Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.

Tools we use include:
  • Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog
  • AI: Vertex AI, GCP Model Garden, Vanna AI, MLflow, Databricks Vector Search
  • Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
  • IDE: Cursor, Claude Code, and R Studio
  • Version Control: GitHub
  • Team Planning / Design: Jira, Confluence, Figma, Claude, Gemini

Why Join Us?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
We Offer:
• Generous equity grants of ISO stock options
• We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance
• 4% 401(k) match
• Flexible PTO, a weeklong winter shutdown, and 10 holidays each year
• Occasional travel required - Quarterly team offsites
• The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care

Apply