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Contract Databricks Developer Jobs in Livermore, CA

Lorven Technologies

Software Developer

San Jose, CA · On-site

San Jose, CA - Onsite Contract role Tech Stack: Microsoft Azure, Microsoft Dynamics, Databricks, SnapLogic, Middleware Position Overview We are seeking a highly skilled Software Development Engineer ...

NextDeavor Inc.

Software Developer - JAVA 3

San Jose, CA · On-site

$61.97 - $77.46/hr

Software Developer - JAVA 3 Full-time San Jose, CA, US You'll be joining Adobe on a contract ... Experience with Databricks * Knowledge of Scala and related frameworks (Akka, Typelevel, ZIO)

Cyber 1 Armor

Senior MLOps / LLMOps Engineer

Milpitas, CA · On-site

$119K - $163K/yr

... contracts We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment pipelines. Key Skills: Strong hands-on experience with Databricks and ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Livermore, CA

Contract Databricks Developer information

See Livermore, CA salary details

$24

$72

$93

How much do contract databricks developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for contract databricks developer in Livermore, CA is $72.13, according to ZipRecruiter salary data. Most workers in this role earn between $64.86 and $79.81 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 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 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 the most commonly searched types of Databricks Developer jobs in Livermore, CA? The most popular types of Databricks Developer jobs in Livermore, CA are:
What job categories do people searching Contract Databricks Developer jobs in Livermore, CA look for? The top searched job categories for Contract Databricks Developer jobs in Livermore, CA are:
What cities near Livermore, CA are hiring for Contract Databricks Developer jobs? Cities near Livermore, CA with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Livermore, CA as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $150,026 per year, or $72.1 per hour.

Product Manager - (Snowflake, Databricks)

Relanto

San Jose, CA • On-site

Other

Posted 3 days ago

New

Job description

Role: Product Manager - Data

Location: Bay Area, CA (Hybrid)

Contract: 6+ Months Contract



Key Requirements

  • :Demonstrated experience as a Product Manager, owning product discovery, requirements gathering, prioritisation, and delivery
  • .Strong technical understanding of modern data platforms and data engineering ecosystems, including Snowflake, Databricks, and Amazon Redshift
  • .Proven experience in B2B SaaS product management
  • .Hands-on experience translating ambiguous business problems into clear, actionable product requirements, user stories, and technical specifications for engineering teams
  • .Proven ability to collaborate closely with engineering, data, and business stakeholders to define scalable product solutions
  • .Experience working with data-intensive products, analytics platforms, or enterprise data solutions is highly preferred
  • .Candidates with predominantly Business Analyst or dashboard/reporting-focused backgrounds, without end-to-end product management ownership and technical data platform experience, are unlikely to be a fit


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