ZipRecruiter

Log In

1

Databricks Engineer Jobs in Oxnard, CA (NOW HIRING)

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 ...

Amh

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

American Homes 4 Rent

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

AMH

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

Kinect

Senior Data Scientist

Calabasas, CA · On-site

You'll work directly with yield management, engineering, and external data partners to develop and ... Maintaining and extending data pipelines and model infrastructure on Databricks and Spark

next page

Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Oxnard, CA

Databricks Engineer information

See Oxnard, CA salary details

$63K

$118.2K

$215K

How much do databricks engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks engineer in Oxnard, CA is $118,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $140,300.00 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 job categories do people searching Databricks Engineer jobs in Oxnard, CA look for?

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Oxnard, CA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $118,216 per year, or $56.8 per hour.

Senior Databricks Data Engineer

Numentica LLC

Calabasas, CA • Hybrid

$50 - $73/hr

Full-time

Posted 26 days ago

Job description

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 (GC) only

Required Skills
  • Databricks
  • AI/ML
  • Python
  • Azure API Development
  • ETL Pipeline Development
  • DevOps & CI/CD
  • Apache Spark
  • SQL
  • Azure Data Services
Key Responsibilities
  • Design and develop scalable batch and real-time data pipelines.
  • Build robust data ingestion, transformation, and analytics workflows.
  • Develop intelligent APIs and data products to support AI and business applications.
  • Ensure high data quality, reliability, and performance.
  • Collaborate with cross-functional teams to deliver scalable data solutions.
  • Support Azure-based data platforms for BI and AI/ML initiatives.
  • Participate in code reviews and implement CI/CD best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience in Data Engineering.
  • Strong expertise in Databricks, Apache Spark, and cloud-based data platforms.
  • Proficiency in Python and SQL.
  • Hands-on experience with Azure data services and REST API development.
  • Experience with DevOps, CI/CD pipelines, and Agile methodologies.