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Contract Databricks Developer Jobs in Roseville, CA

Python Developer w/AI Experience

Sacramento, CA · On-site

$54.75 - $75.50/hr

Sacramento, CA (Hybrid) Duration: 6-month Contract-to-Hire (C2H) Position Summary: We are seeking a ... Enterprise data platforms (Databricks, etc.) * Partner with business stakeholders to identify and ...

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

Data & AI Engineer

Sacramento, CA

$117K - $141K/yr

This is a contract position. Extension may be considered based on business need and performance ... Proficiency with cloud data platforms and services such as Azure and Databricks; experience with ...

New

Data & AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

Position Description This is a contract position. Extension may be considered based on business ... Proficiency with cloud data platforms and services such as Azure and Databricks; experience with ...

New

This is a contract position. Extension may be considered based on business need and performance ... Collaborates with data engineering to define data ingestion, feature engineering, and model serving ...

New

Position Description This is a contract position. Extension may be considered based on business ... Collaborates with data engineering to define data ingestion, feature engineering, and model serving ...

New

Contract Databricks Developer information

See Roseville, CA salary details

$21

$64

$83

How much do contract databricks developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for contract databricks developer in Roseville, CA is $64.46, according to ZipRecruiter salary data. Most workers in this role earn between $57.93 and $71.30 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

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 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 cities near Roseville, CA are hiring for Contract Databricks Developer jobs?

Cities near Roseville, CA with the most Contract Databricks Developer job openings:

Infographic showing various Contract Databricks Developer job openings in Roseville, CA as of August 2026, with employment types broken down into 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $134,073 per year, or $64.5 per hour.

Python Developer w/AI Experience

Mindsource Inc

Sacramento, CA • On-site

$54.75 - $75.50/hr

Other

Posted 10 days ago


Job description

Title: AI Developer w/Strong Python

Location: Sacramento, CA (Hybrid)

Duration: 6-month Contract-to-Hire (C2H)

Position Summary:

We are seeking a hands-on AI Developer with strong Python expertise and proven foundational AI experience to support a large-scale enterprise AI transformation.

This is not an entry-level or “learn AI on the job” role—we are looking for developers who already have real exposure to AI/ML concepts and LLM-based solutions and want to accelerate into advanced AI engineering.

You will play a key role in a Microsoft 365 Copilot and agent-driven transformation, helping transition existing ChatGPT-based solutions into scalable, enterprise-grade AI platforms. This role blends application development, AI agent design, and workflow automation across core business functions.

We value individuals with a strong engineering mindset, accountability, and a growth-oriented attitude who are ready to contribute immediately while continuing to level up.

Key Responsibilities:

  1. AI Solution & Agent Development
  • Design, develop, test, deploy, and support AI-powered applications, copilots, and intelligent agents
  • Build and configure AI agents, custom GPTs, and copilots using:
    • Azure OpenAI / Azure AI Foundry
    • Microsoft Copilot Studio & Microsoft 365 Copilot
    • ChatGPT Enterprise (SKAI), Claude, and other approved platforms
  • Develop APIs, integrations, and services connecting AI to enterprise systems and workflows
  • Configure prompts, guardrails, workflows, and tool integrations to optimize performance and outcomes
  • Support full lifecycle: design → deployment → monitoring → optimization
  1. AI Enablement & Enterprise Integration
  • Develop and support RAG (Retrieval-Augmented Generation) and enterprise knowledge solutions
  • Integrate AI capabilities with platforms including:
    • Microsoft 365
    • ERP, MES, LIMS, CRM, ServiceNow
    • Enterprise data platforms (Databricks, etc.)
  • Partner with business stakeholders to identify and deliver high-impact AI use cases
  • Help transition legacy solutions from ChatGPT to Copilot + agent-based architecture
  • Support user adoption, onboarding, and feedback loops
  1. Operations & Continuous Improvement
  • Monitor AI systems for performance, reliability, security, and cost efficiency
  • Troubleshoot and resolve issues across applications, agents, and integrations
  • Evaluate AI output quality and improve accuracy through testing and feedback
  • Support production deployments, release management, and documentation
  • Collaborate with internal teams and external partners to scale solutions

Required Qualifications:

  • Strong Python development experience (non-negotiable)
  • 6–12 months of hands-on AI/ML or LLM experience (practical, not theoretical)
  • Experience building or working with AI-enabled applications, automation, or APIs
  • Understanding of LLMs, prompt engineering, or AI workflows
  • Solid foundation in software engineering, integrations, and problem-solving

Preferred Qualifications:

  • Experience with Azure AI, OpenAI, or Microsoft Copilot ecosystem
  • Exposure to agent-based AI, copilots, or workflow automation platforms
  • Familiarity with enterprise system integrations (M365, ERP, CRM, etc.)
  • Experience with Databricks or enterprise data environments

What We’re Looking For:

  • Developers with real AI exposure—not zero-to-one learners
  • Strong Python engineers who can quickly adapt to AI-first development
  • Individuals with ownership mindset, strong culture fit, and positive attitude
  • Candidates motivated to grow into senior AI engineering roles

Why Join:

  • Work on a large-scale enterprise AI (365/Copilot) transformation
  • Build real-world AI agents, copilots, and automation at scale
  • Partner with top-tier external AI vendors and platforms
  • Opportunity to upskill rapidly in enterprise AI
  • Clear path to full-time conversion after 6 months

Mindsource logo

About Mindsource

Sourced by ZipRecruiter

Beginning with a 100 square foot office in Mountain View, Dave Clark and his entrepreneurial partners built a thriving business in four months with their unique technical knowledge and high-touch approach. Our management team immersed themselves in the intricacies of the most technically challenging and sophisticated technical endeavors, requiring the best and brightest minds. Two decades later, we have used our technical savvy to grow our consultancy and to provide top-tier talent in the areas of mobile development, front-end development, and quality assurance. We provide our consultants with engineering job opportunities, QA analyst jobs, IT job opportunities, and many other rewarding careers with Silicon Valley’s top employers. At every step, we made good on our promise to deliver satisfaction, and because of this emerged as the leader in our field. The MindSource staff is a close-knit family of employees; many have been with the company for over a decade. We are motivated by generating and maintaining long-term relationships with both colleagues and clients as we have done for over 20 years. We value working with the best, and continue to do so, over and over again.

Company size

51 - 200 Employees

Headquarters location

Mountain View, CA, US

Year founded

1994

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