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Contract Databricks Developer Jobs in Livermore, CA

SDH Systems

Lead Databricks Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Data Engineer Location- San Jose, CA- Onsite Contract role Requirements We are seeking a Lead Data Engineer with expertise in Databricks and Data Warehousing to drive data architecture, pipeline ...

iFlow Inc

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Title: Senior Data Engineer Location: Palo Alto, CA Working Hours: 8am-5pm Duration:4 Months ... contract compliance across key pipelines. Optimize Databricks jobs, Fivetran connectors, and dbt ...

New

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 ...

Tror AI for everyone

Data Analytics

Santa Clara, CA · On-site

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 ...

SolGenie

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 ...

Embtel Inc

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 ...

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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 Jul 15, 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, 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 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 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
Lead Databricks Engineer

Lead Databricks Engineer

SDH Systems

San Jose, CA • On-site

$120K - $158K/yr

Other

Posted 20 days ago

Job description

Lead Data Engineer

Location- San Jose, CA- Onsite  

Contract role  

 Requirements

 We are seeking a Lead Data Engineer with expertise in Databricks and Data Warehousing to drive data architecture, pipeline development, and optimization efforts. The ideal candidate will play a key role in designing scalable solutions, implementing best practices, and leading data initiatives within a dynamic and collaborative environment.

Key Responsibilities:

  • Design, build, and optimize scalable data pipelines using Databricks, Apache Spark, and Azure technologies.
  • Architect data warehousing solutions, ensuring seamless integration with cloud platforms and structured/unstructured data sources.
  • Collaborate with business stakeholders to understand data needs and develop high-performance analytical solutions.
  • Implement ETL/ELT processes leveraging cloud-based technologies such as Azure Data Factory, Snowflake, and Delta Lake.
  • Ensure data quality, governance, and security compliance while managing large datasets efficiently.
  • Drive performance tuning and optimization for data pipelines, ensuring efficiency across systems.
  • Work closely with cross-functional teams to support machine learning and advanced analytics initiatives.
  • Provide technical leadership and mentorship to junior data engineers, fostering a culture of innovation and continuous improvement.
  • Stay updated on emerging data technologies and recommend strategies to enhance existing architectures.

Qualifications:

  • 8+ years of experience in data engineering, big data processing, and cloud-based solutions.
  • Strong expertise in Databricks, Spark (PySpark/SQL), and Delta Lake architecture.
  • Proven experience in designing and managing data warehouses using Snowflake, Azure Synapse, or equivalent technologies.
  • Deep understanding of data modeling, SQL, and performance optimization.
  • Hands-on experience with Azure Data Factory, Event Hubs, and cloud-based ETL processes.
  • Solid knowledge of real-time streaming technologies (Kafka, Azure Stream Analytics, or similar).
  • Familiarity with ML/AI data pipelines and feature engineering best practices.
  • Strong communication and collaboration skills, with experience working in fast-paced, enterprise environments.

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