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Contract Databricks Developer Jobs in Livermore, CA

Symhas

GEN AI Lead

Alameda, CA · On-site

Work Schedule This is a contract role requiring 2 days onsite per week . Candidates must be able to ... Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset ...

Addison Group

AI Architect

Alameda, CA · On-site

$115 - $135/hr

Alameda, CA Assignment Type: 6-month contract with potential for extension and/or conversion Pay ... Key Responsibilities: • Architect and enhance enterprise AI platforms leveraging AWS, Databricks ...

Symhas

GEN AI Lead

Walnut Creek, CA · On-site

Work Schedule This is a contract role requiring 2 days onsite per week . Candidates must be able to ... Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset ...

Symhas

GEN AI Lead

Milpitas, CA · On-site

Work Schedule This is a contract role requiring 2 days onsite per week . Candidates must be able to ... Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset ...

Symhas

GEN AI Lead

Castro Valley, CA · On-site

Work Schedule This is a contract role requiring 2 days onsite per week . Candidates must be able to ... Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset ...

Symhas

GEN AI Lead

Oakland, CA · On-site

Work Schedule This is a contract role requiring 2 days onsite per week . Candidates must be able to ... Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset ...

Symhas

GEN AI Lead

Danville, CA · On-site

Work Schedule This is a contract role requiring 2 days onsite per week . Candidates must be able to ... Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset ...

Symhas

GEN AI Lead

San Leandro, CA · On-site

Work Schedule This is a contract role requiring 2 days onsite per week . Candidates must be able to ... Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for ... Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks)

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for ... Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks)

Vertex Sigma Software

Data Engineer

Foster City, CA

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for ... Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks)

campus4tech

Technical Program Manager-CA

Mountain View, CA · On-site

$151K - $195K/yr

Contract Duration: 6 months Location: Mountain View, CA, 94041 Client is seeking a Staff Technical ... This isn't just another TPM role - it's an opportunity to transform how Databricks runs and ...

Apple

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... data contracts, and operational runbooks Minimum Qualifications Bachelor's degree in Computer ... platforms (Snowflake, Databricks, BigQuery, or similar) Experience with ETL/ELT tools (dbt ...

Saransh Inc

Cloud Data Architect

San Jose, CA · On-site

$74.75 - $96/hr

Contract Note: This role is no longer open for remote work. The candidate will be required to work ... Proficiency in Spark programming - Databricks experience is a big plus. Experience in data ...

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Showing results 41-60

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 10, 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.

GEN AI Lead

Symhas

Alameda, CA • On-site

Contractor

Re-posted 6 days ago

Job description

Generative AI Lead | 6–8 Years Experience

We're looking for a seasoned Machine Learning Engineer who thrives at the intersection of data, engineering, and business impact. If you love turning messy real-world problems into production-grade AI solutions — this one's for you.


Work Schedule

This is a contract role requiring 2 days onsite per week. Candidates must be able to commute to the office location.


What You'll Do

  • Partner directly with business stakeholders to define ML use cases, success metrics, and evaluation frameworks — translating strategy into working models
  • Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset preparation
  • Build, train, and iterate on ML models; run experiments, compare candidates, and champion the best solution
  • Package and deploy models into production-ready services using containerization and MLOps best practices
  • Own post-deployment health — set up monitoring, track model performance, and drive continuous improvement


Your Technical Toolkit

Languages & Querying Python (hands-on, non-negotiable) · SQL (joins, window functions, CTEs, query optimization)

Machine Learning Regression · Decision Trees · Random Forest · XGBoost · LightGBM · SVM · KNN Model evaluation (Precision/Recall, F1, ROC-AUC, MSE/RMSE) · Hyperparameter tuning · Cross-validation

Deep Learning TensorFlow · Keras · PyTorch · CNNs · RNNs · LSTMs · Transformers Applied to NLP, Computer Vision, and Time-Series Forecasting

Data Engineering Feature engineering · Missing data handling · Outlier detection · Normalization · Data cleaning pipelines

Visualization & BI Matplotlib · Seaborn · Plotly · Tableau · Power BI · Storytelling with data

Cloud & Big Data Spark · Hadoop · AWS (S3, SageMaker, EC2) or Azure (Databricks, Data Factory) or GCP (BigQuery, Vertex AI)

Deployment & MLOps Flask / FastAPI · Docker · Kubernetes (a plus) · CI/CD basics · Airflow / Prefect

Databases MySQL · PostgreSQL · SQL Server · MongoDB · Cassandra


✅ What Sets You Apart

  • A solid conceptual grip on supervised and unsupervised learning, with real experimental work to back it up
  • Proven experience shipping models to production in cloud-agnostic, API-first architectures
  • Comfortable collaborating with engineering teams via version control and CI/CD workflows
  • Generative AI exposure is a strong plus — and increasingly central to this role
Industry
  • Technology, Information and Internet
Employment Type

Contract