ZipRecruiter

Log In

1

Contract Databricks Data Engineer Jobs in California

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

Implement curated data products with clear contracts covering schemas, SLAs, data quality rules ... Databricks Certified Data Engineer Professional certification (Associate certification also ...

Deloitte

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$122K - $147K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Numentica LLC

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Senior Data Engineer (AI & Databricks) Location: Las Vegas, NV / Calabasas, CA Work Model: Onsite (4 days/week) Employment Type: Full-Time Work Authorization: U.S. Citizens (USC) & Green Card Holders ...

Deloitte

Sr Databricks Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

GEI Consultants

Data Engineer

Rancho Cordova, CA

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

Exactera

Staff Data Engineer

San Diego, CA

$121K - $146K/yr

You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery, serve as a technical counterpart to the Principal Data Platform Engineer ...

next page

Showing results 1-20

All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in California

Contract Databricks Data Engineer information

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in California? The most popular types of Databricks Data Engineer jobs in California are:
What are popular job titles related to Contract Databricks Data Engineer jobs in California? For Contract Databricks Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in California look for? The top searched job categories for Contract Databricks Data Engineer jobs in California are:
What cities in California are hiring for Contract Databricks Data Engineer jobs? Cities in California with the most Contract Databricks Data Engineer job openings:
Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in California as of July 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Senior Databricks Data Engineer

Mondo

Marina Del Rey, CA • On-site

$200K - $225K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Job Title: Senior Databricks Data Engineer Location-Type: Onsite, Santa Monica, CA (office relocation to Century City anticipated within approximately one year) Start Date: ASAP Duration: Permanent Compensation Range: $200,000 - $225,000 Benefits: Medical premiums 100% covered, Dental and Vision premiums 100% covered, 401K with employer match up to 6%, 14 days PTO, 9 sick days annually, 11 paid holidays, $20K lifetime fertility benefit, daily catered lunch, weekly carwash service, monthly cellphone reimbursement Visa Sponsorship: Not eligible for visa sponsorship Job Description: This role leads the technical design and hands-on development of an enterprise-grade Azure Databricks Lakehouse platform, delivering scalable data infrastructure and governance capabilities across the organization. Job Summary •Build and evolve an internal Azure Databricks Lakehouse platform using Delta Lake and standardized architectural patterns such as medallion architecture. •Develop scalable ingestion and transformation frameworks for multiple source systems using Auto Loader, CDC incremental patterns, and Delta best practices. •Implement curated data products with clear contracts covering schemas, SLAs, data quality rules, ownership, and documentation. •Operationalize pipelines using Databricks Workflows, including scheduling, dependencies, retries, alerting, and run-time observability. •Own performance and cost optimization across workloads, including cluster policies, partitioning strategies, file sizing, and caching. •Implement and administer data governance and security using Unity Catalog, including least-privilege access patterns and audit standards. •Mentor junior and mid-level engineers, lead architecture and design reviews, and drive adoption of platform standards and best practices. Minimum Requirements: •8 years of data engineering experience, including 3 years of recent, hands-on Azure Databricks experience in production environments. •Strong proficiency in Python (PySpark) and Spark SQL for large-scale data transformation. •Strong experience with Delta Lake, including MERGE/UPSERT, schema evolution, time travel, ACID transactions, and incremental processing. •Solid Azure fundamentals relevant to a data platform, including ADLS Gen2, service principals, managed identities, and Azure Key Vault secrets management. •Demonstrated ability to work cross-functionally and communicate technical decisions clearly to non-engineering stakeholders. •Experience with financial datasets such as general ledger, subledger, and accounting line items. Preferred Qualifications: •Databricks Certified Data Engineer Professional certification (Associate certification also considered). •Experience implementing Unity Catalog in an enterprise environment, including RBAC model design and audit patterns. •Experience with CI/CD for Databricks assets using Azure DevOps or GitHub Actions, and familiarity with Terraform or asset-bundle deployment. •Experience with streaming or near-real-time ingestion using Structured Streaming, Event Hubs, or Delta Live Tables. •Private equity, credit, or alternative asset management industry experience. •Bachelor's degree in computer science, data engineering, mathematics, or a related field (preferred but not required).