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Contract Databricks Developer Jobs in Livermore, CA

... Contract | $60-$80/hr (W2 or C2C) Azure Data Architect | Databricks | Spark/PySpark | Python ... Partner with engineering and business stakeholders to align architectural decisions with ...

Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1.    Strong in ...

Data Migration Engineer - Hybrid Role

San Jose, CA · On-site

$134K - $161K/yr

We have a contract opportunity got Data Migration Engineer with one of our clients. For details ... Experience with platforms like Databricks, Power BI and Tableau. * You have mastered the ability to ...

Build and maintain integrations across Microsoft Dynamics, Azure, Databricks, SnapLogic, and ... Job Type & Location This is a Contract position based out of San Jose, CA. Pay and Benefits The pay ...

Senior AWS DevOps Engineer (REMOTE)

Palo Alto, CA · On-site

$152K - $196K/yr

S enior AWS DevOps Engineer Location: Remote Duration: Long Term Contract - * A thorough ... Nice to have Databricks experience. * Nice to have ML Ops experience but not mandatory. * Strong ...

Build and maintain integrations across Microsoft Dynamics, Azure, Databricks, SnapLogic, and ... Job Type & Location This is a Contract position based out of San Jose, CA. Pay and Benefits The pay ...

Build and maintain integrations across Microsoft Dynamics, Azure, Databricks, SnapLogic, and ... Job Type & Location This is a Contract position based out of San Jose, CA. Pay and Benefits The pay ...

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Build and maintain integrations across Microsoft Dynamics, Azure, Databricks, SnapLogic, and ... Job Type & Location This is a Contract position based out of San Jose, CA. Pay and Benefits The pay ...

New

The ideal candidate will combine strong engineering expertise with a deep understanding of data ... Build and maintain integrations across Microsoft Dynamics, Azure, Databricks, SnapLogic, and ...

Contract - 12 Months Pay Rate: $75/hr - $85/hr Key Skills: Azure AI Foundry, Microsoft Foundry ... We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in ...

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Contract Databricks Developer information

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How much do contract databricks developer jobs pay per hour?

As of Aug 21, 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 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 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:

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.

Customer Success Insights Engineer

Nvidia

Santa Clara, CA

Full-time

Posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

NVIDIA's Customer Success Business Insights team is looking for a Customer Success Insights Engineer to scale platform adoption through data and AI-native analytical solutions. You'll surface how customers, partners, and developers adopt NVIDIA platforms - and where we can accelerate their success. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us!

Whatyou'llbe doing:

  • Design, build, andoperateautomated data collection and transformation pipelines across enterprise systems, vendor APIs, and public developer platforms into Databricks, with data quality gates, freshness monitoring, and fail-safe behavior built in from day one.

  • Use AI agents throughout the engineering lifecycle: multi-agent build workflows, automated verification, and adversarial review gates before anything reaches production or an executive audience.

  • Turn ambiguous adoption questions from leadership into measurable definitions, transparent metrics, and self-serve dashboards, including the caveats: knowing when signals must not be summed, funneled, or over-claimed.

  • Develop andmaintainexecutive dashboards and recurring analytical products that track platform adoption, developer engagement, and ecosystem health across NVIDIA software.

  • Partner with Product, Marketing, Sales Operations, and external platform vendors to source new telemetry,validatedata contracts, and establish baselines beforechangesship, so every initiative gets a measured before and after.

  • Operationalize measurement for emerging channels (AI agent marketplaces, developer registries, model hubs) where APIs change weekly and un-captured history is lost forever.

  • Champion data honesty as a product feature: every number defensible, every source detailed, every anomaly investigated before it reaches a customer.

What we need to see:

  • BS degree in Computing Science, Engineering,Mathor equivalent experience.

  • 8+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or similar roles in building production data products.

  • Agentic AI & LLM Mastery:Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows, applied to real engineering: agent-assisted development, automated verification and review gates, or agentic pipelines that shipped to production.

  • Databricks Mastery:Proven deepexpertisein Apache Spark,PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.

  • Expert SQL and Python, including API-based data ingestion from enterprise systems and third-party platforms.

  • Experience integrating CRM and enterprise data (Salesforce or similar) with product telemetry into unified analytical models.

  • A track recordof building executive-facing dashboards and analytical narratives that leaders trust and act on.

  • Excellent communication, stakeholder management, analytical, and problem-solving skills.

Ways to stand out from the crowd:

  • Background with NVIDIA AI technologies and platforms, or measurement of developer ecosystems (GitHub/GitLab telemetry, package registries, model hubs, marketplace analytics).

  • Experience designing multi-agent or agentic engineering workflows (Claude Code, Codex, Cursor,Nemotron, or similar) with verification and code review gates.

  • Active Databricks Certifications(e.g., Data Engineer Professional, Generative AI Engineer Associate).

  • MS in Computer Science, Data Science, or equivalent experience in a related professional background.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993