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Databricks Engineer Jobs in Oxnard, CA (NOW HIRING)

Senior Data Engineer - 1628

Calabasas, CA · On-site

$130K - $150K/yr

Databricks AI Python Azure API development ETL pipelines DevOps and CI/CD Responsibilities: Design and build scalable batch and real-time data pipelines. Develop data ingestion, processing, and ...

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 ...

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 ...

Senior Data Engineer

Calabasas, CA · On-site

$140K - $156K/yr

Senior Data Engineer Salary Range: $140k to $156k We are seeking a Senior Data Engineer to support ... Familiarity with modern data platforms (e.g., Databricks, Snowflake, BigQuery, or similar)

Database Architect- AWS

Westlake Village, CA · On-site

$67 - $86.25/hr

AWS Redshift, Snowflake, Databricks, Delta Lake, Apache Iceberg. * Strong expertise in event ... Strong background in Python, PowerShell, AWS CLI, or equivalent programming languages for ...

Enterprise Data Analyst

Calabasas, CA · On-site

$91K - $114K/yr

Works cross-functionally with internal teams (e.g., finance and engineering) to support data ... Databricks, etc.). Supports end-user adoption of reporting through documentation and guidance.

Experience with cloud-based BI platforms and data services (Databricks, Palantir Foundry, AWS ... Google Associate Cloud Engineer or similar cloud certification Work Environment & Requirements

Databricks Engineer information

See Oxnard, CA salary details

$63K

$118.2K

$215K

How much do databricks engineer jobs pay per year?

As of Jul 9, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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.
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What cities near Oxnard, CA are hiring for Databricks Engineer jobs? Cities near Oxnard, CA with the most Databricks Engineer job openings:

Senior Data Engineer - 1628

aKube, Inc.

Calabasas, CA • On-site

$130K - $150K/yr

Full-time

Posted 10 days ago


Job description


City: Las Vegas, NV / Calabasas, CA
Onsite/ Hybrid/ Remote: Onsite 4 days a week
Duration: Fulltime
Rate Range: Up to $130k to $150k PA depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC Only
Must Have:
Databricks
AI
Python
Azure
API development
ETL pipelines
DevOps and CI/CD
Responsibilities:
Design and build scalable batch and real-time data pipelines.
Develop data ingestion, processing, and analytical workflows.
Build data products and intelligent APIs.
Ensure data quality, reliability, and performance.
Collaborate with cross-functional teams to translate business needs into data solutions.
Support cloud-based data architecture for BI and AI/ML use cases.
Participate in code reviews and CI/CD practices.
Qualifications:
Bachelor's degree in a related technical field required.
10+ years of data engineering experience.
Strong experience with Databricks, Spark, and cloud platforms.
Proficiency in Python and SQL.
Hands-on experience with Azure data services.
Experience with REST APIs and DevOps practices.
Agile development experience.