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Contract Databricks Developer Jobs in California

V4C.ai

DataBricks Consultant- Onshore

Fontana, CA · Hybrid

$116K - $139K/yr

Data Engineer Employment Type: Fulltime/Contract Location: Fontana, CA (Hybrid) This role will ... The position will play a key role in supporting current and future Databricks projects and sprint ...

V4C.ai

DataBricks Consultant- Onshore

Fontana, CA · On-site

$116K - $139K/yr

Data Engineer Employment Type: Fulltime/Contract Location: Fontana, CA (Hybrid) This role will ... The position will play a key role in supporting current and future Databricks projects and sprint ...

V4C.ai

DataBricks Consultant- Onshore

Fontana, CA · On-site

$116K - $139K/yr

Data Engineer Employment Type: Fulltime/Contract Location: Fontana, CA (Hybrid) This role will ... The position will play a key role in supporting current and future Databricks projects and sprint ...

Mondo

$130/hr

Contract Compensation Range: $130-150K Benefits: Eligible for Health, Dental, Vision, 401K, PTO ... Lead development and optimization of data pipelines using Databricks, SQL, Python, and PySpark

eTeam

Cloud Data Platform Engineer

Cupertino, CA

$68.75 - $92/hr

Duration: 8 Months contract role As an Analytics platform engineer supporting Azure & AWS Databricks from a DevOps perspective requires a hybrid skill set spanning primarily cloud infrastructure ...

Saransh Inc

Lead Data Engineer - Only W2

San Francisco, CA · On-site

$134K - $162K/yr

W2 Contract Contract Length: 9 months with possible extension Experience Level: Senior/Lead Main ... SQL, Databricks, ADF, DataStage (or other ETL tool), SSAS cubes, Cognos/other, Tableau/other ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Contract Need 15+ years of experience resumes. Role Overview We are seeking an experienced AI/ML ... Design ML architectures aligned with Databricks Lakehouse on Azure. Data Engineering & Lakehouse ...

CaritaTech LLC.

QAAutomationEngineer

Los Angeles, CA · Hybrid

Title : QA Automation Engineer Duration: 12+ months Location: Irving, TX, || Jerey City, NJ ... Experience with Azure Databricks, ETL pipelines, and data workflows * Knowledge of test reporting ...

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Contract Databricks Developer information

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 California? The most popular types of Databricks Developer jobs in California are:
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Contract Databricks Developer jobs near you

DataBricks Consultant- Onshore

V4C.ai

Fontana, CA • Hybrid

$116K - $139K/yr

Contractor

Posted yesterday

Job description

Job Title: Data Engineer

Employment Type: Fulltime/Contract

Location: Fontana, CA (Hybrid)

Job Description:

This role will support the organization's expanding cloud data platform and future enterprise analytics roadmap within Databricks. The Senior Data Engineer will work closely with internal business units and external engineering partners to support enterprise data pipelines, cloud database environments, operational analytics, system integrations, and future data development initiatives.

The position will play a key role in supporting current and future Databricks projects and sprint initiatives, including transportation and brokerage analytics, operational KPI reporting, driver payroll and activity-based pay analytics, telematics and reefer visibility integrations, customer visibility platforms, trailer and yard management integrations, AI and automation initiatives, and enterprise reporting solutions.

This role will support scalable cloud-based data solutions utilizing Databricks, SQL, Python, PySpark, AWS, Microsoft Azure, APIs, and modern ETL/ELT workflows across multiple operational systems and business units.

The ideal candidate will have experience working with large operational datasets, cloud data environments, transportation management systems, telematics platforms, APIs, and modern analytics workflows within a fast-paced logistics and transportation environment.

Key Duties and Responsibilities:

Develop and maintain scalable data solutions within Databricks.

Build and optimize ETL/ELT workflows using SQL, Python, and PySpark.

Support Bronze, Silver, and Gold layer data architecture and scalable analytics workflows.

Optimize Spark workloads and data transformations for scalability and performance.

Support ingestion workflows from APIs, operational systems, and external data providers.

Work with structured and semi-structured datasets including JSON, CSV, and API responses.

Support AWS-based cloud environments and Databricks integrations.

Write and optimize advanced SQL queries and transformations.

Develop Python scripts and Databricks notebooks for automation, validation, and operational analytics.

Required Qualifications:

5+ years of experience in Data Engineering, Analytics Engineering, or related technical roles.

Strong SQL skills required.

Strong Python skills required.

Experience with Databricks, PySpark, and Spark-based processing required.

Experience working in AWS and Microsoft Azure cloud environments and modern ETL/ELT workflows.

Preferred Skills and Experience:

Logistics / transportation industry experience preferred.

Experience with Revenova, Samsara, and transportation operational datasets preferred.

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, or related technical field preferred; equivalent experience accepted.

Understanding of transportation workflows, APIs, JSON data structures, and operational analytics.

Experience supporting hybrid AWS and Azure cloud architectures, integrations, and enterprise analytics environments preferred.

Experience with Microsoft Azure services, Microsoft Entra ID (Azure AD), and enterprise identity/access management preferred.

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