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Databricks Engineer Jobs in Los Angeles, CA (NOW HIRING)

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

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 ...

Northern Base

Lead Data Engineer

Irvine, CA · On-site

$110K - $144K/yr

Lead Data Engineer - MSS Irvine, CA Fulltime Lead Data Engineer - MSS Must Have Technical ... Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, and Python.

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 ...

Ventures Unlimited Inc

Lead Data Engineer - MSS

Irvine, CA · On-site

$110K - $144K/yr

Databricks Engineering Develop solutions leveraging: • Databricks Lakehouse Platform • Delta ... Lake • Unity Catalog • Databricks Workflows • Structured Streaming • Medallion Architecture ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Los Angeles, CA

Databricks Engineer information

See Los Angeles, CA salary details

$64.1K

$120.3K

$218.7K

How much do databricks engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks engineer in Los Angeles, CA is $120,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $142,800.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Los Angeles, CA?

For Databricks Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Los Angeles, CA look for?

The top searched job categories for Databricks Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Databricks Engineer jobs?

Cities near Los Angeles, CA with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,284 per year, or $57.8 per hour.

AWS Databricks Engineering Lead

Judge Group, Inc.

Irvine, CA • On-site

$130K - $140K/yr

Other

Posted 11 days ago

Job description

Location: Irvine, CA Salary: $130,000.00 USD Annually - $140,000.00 USD Annually Description: Please send resumes to You must be able to accept w2 FT, Salaried employment without sponsorship now or in the future.

    Job Summary
    We are seeking an experienced AWS Databricks Engineering Lead to design, build, and oversee enterprise-scale cloud-native data platforms supporting Asset Management business functions. This role will lead platform engineering, cloud infrastructure, DevOps automation, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).
    Key Responsibilities
    • Lead the design, implementation, and management of enterprise data platforms.
    • Define platform engineering standards, best practices, and automation frameworks.
    • Architect and administer Databricks platforms, including Delta Lake, Unity Catalog, DLT, MLflow, and Structured Streaming.
    • Drive AWS cloud engineering initiatives utilizing S3, ECS, EKS, Lambda, Glue, and CloudWatch.
    • Develop Infrastructure-as-Code solutions using Terraform.
    • Build and manage CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, and Azure DevOps.
    • Support containerized environments leveraging Docker and Kubernetes.
    • Establish governance, security, monitoring, and operational controls across environments.
    • Implement Site Reliability Engineering (SRE) practices, including SLAs, SLOs, observability, and incident management.
    • Drive platform performance, scalability, cost optimization, and continuous improvement.
    Required Qualifications
    • Strong hands-on experience with Databricks, dbt, Airflow, AWS, Terraform, and Python.
    • Experience leading cloud platform engineering and DevOps initiatives.
    • Expertise in CI/CD, Infrastructure as Code, Docker, and Kubernetes.
    • Experience supporting Asset Management or Investment Management organizations.
    • Strong knowledge of platform reliability, security, governance, and operational best practices.


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This job and many more are available through The Judge Group. Please apply with us today!

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