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Databricks Engineer Jobs in Long Beach, CA (NOW HIRING)

Mutual of Omaha Mortgage

Database Engineer - Databricks

Irvine, CA · On-site

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Database Engineer - Databricks Location: Hybrid - Irvine, CA Job Type: Full-Time Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to ...

Mutual of Omaha Mortgage

Database Engineer - Databricks

Irvine, CA · On-site

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Database Engineer - Databricks Location: Hybrid - Irvine, CA Job Type: Full-Time Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to ...

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Adastra Corporation

Sr Data Engineer - Databricks

Irvine, CA · Hybrid

$123K - $147K/yr

Overview Adastra is looking for a hands-on Data Engineer to join our team supporting a modern enterprise data platform. You'll design and run Databricks pipelines that turn raw operational, marketing ...

Tror AI for everyone

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Engineering & Implementation * Build robust ETL/ELT pipelines with Databricks notebooks, jobs, and workflows. * Design and implement high-performance streaming solutions using Structured Streaming.

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Long Beach, CA

Databricks Engineer information

See Long Beach, CA salary details

$62.6K

$117.4K

$213.4K

How much do databricks engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for databricks engineer in Long Beach, CA is $117,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $139,300.00 per year, depending on experience, location, and employer.

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 $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Long Beach, CA?

For Databricks Engineer jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Long Beach, CA look for?

The top searched job categories for Databricks Engineer jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Databricks Engineer jobs?

Cities near Long Beach, CA with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Long Beach, CA as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $117,378 per year, or $56.4 per hour.

Database Engineer - Databricks

Mutual of Omaha Mortgage

Irvine, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Database Engineer - Databricks
Location: Hybrid - Irvine, CA
Job Type: Full-Time
Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to being responsible and caring for each other. We exist for the benefit of our customers and employees.
Mutual of Omaha Mortgage is a full-service lending company offering both Forward and Reverse Mortgage products including a complete line of residential mortgage, refinancing, specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that promotes from within and works together toward a common goal of helping customers with their mortgage needs, please review and apply for our opening below!
Overview:
Mutual of Omaha Mortgage is seeking a Database Engineer to own the ongoing operation, reliability, and evolution of our Databricks Lakehouse platform following the completion of a major data migration initiative.
This is a hands-on engineering role focused on keeping our Databricks-based ingestion pipelines, transformation layers, and warehouse healthy, performant, cost-efficient, and compliant in a regulated lending environment.
You'll work on a small, senior platform team where you'll have direct ownership of the Databricks environment with high visibility and autonomy. This is a role for someone energized by being a primary owner rather than one specialist among many.
Key Responsibilities:
  • Own the day-to-day operation and reliability of Databricks jobs and pipelines, compute and cluster configuration, Delta Lake tables, and Databricks SQL warehouses.
  • Develop and optimize Spark transformations in Databricks notebooks across bronze/silver/gold (medallion) layers, including incremental loads via Auto Loader and Structured Streaming where applicable.
  • Maintain and extend orchestration across Databricks Workflows and Apache Airflow, ensuring freshness and reliability SLAs are met.
  • Administer governance and access through Unity Catalog (catalogs, schemas, grants, lineage) consistent with PII containment in a regulated lending environment.
  • Manage and tune Microsoft SQL Server (MSSQL) source and target databases for downstream consumer with a focus on query optimization, indexing, schema management, and performance diagnostics.
  • Build monitors and control DBU consumption and cluster cost by implementing alerting and right-sizing to keep platform spend predictable.
  • Diagnose and resolve pipeline failures, data quality issues, schema drift, and source authentication/connectivity problems end-to-end.
  • Share responsibility for platform reliability and operational coverage with a small team, maintaining runbooks and documentation so that no single person is a point of failure.
  • Document pipeline architecture, runbooks, and operational procedures to support team-wide maintainability.

Required Skills & Qualifications
  • 3+ years of hands-on data engineering experience in a production environment.
  • Deep, demonstrable Databricks experience, including:
  • Authoring and operating Databricks notebooks, Jobs, and Workflows
  • Cluster and compute configuration, plus DBU cost awareness
  • Databricks SQL / SQL Warehouses
  • Unity Catalog governance
  • Databricks Certification
  • Strong Python, PySpark, SQL skills for building and debugging distributed data transformations.
  • Solid MSSQL / SQL Server experience
  • Production experience with Apache Airflow (authoring, scheduling, and debugging DAGs).
  • Experience integrating data from SaaS/CRM source systems (e.g., Salesforce) via Bulk or streaming APIs.
  • Comfort operating, monitoring, and troubleshooting pipelines in a live environment, not just building them.
  • Strong communication skills and the ability to articulate and write clear technical documentation.

The annual salary for this position is $130,000-$150,000. This position offers eligibility for incentive compensation.
Mutual of Omaha Mortgage is an Equal Opportunity Employer, and we encourage diverse, talented, qualified applicants to apply. We offer an extensive compensation package. Benefits include:
  • Vacation - Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.
  • Paid Sick Time - 40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed.
  • 9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
  • Multiple PPO Medical Plans, as well as HDHP eligible plan.
  • Dental Coverage
  • Vision Coverage
  • Company Paid Life Insurance
  • 401K with a generous employer match
  • Additional Benefits including - Optional Life, FSA, Pet Insurance etc.
  • Free Legal Services
  • Employee Loan Program

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