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Commission Databricks Data Engineer Jobs in Corona, CA

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

Data Engineer We are seeking project based Platform Engineering delivery support with strong, hands on technical depth in the following areas: • Databricks advanced Spark, performance tuning ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Lead Data Engineer

Tustin, CA · On-site

$180K - $190K/yr

The ideal candidate will possess deep expertise in Databricks, dbt, Airflow, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations , along with a strong background ...

New

Senior Data Engineer

Irvine, CA

$113K - $154K/yr

We are migrating the Vehicle Catalog to a new Databricks account while simultaneously building out a new vehicle catalog on that platform. As a Sr. Data Engineer, you will help us refactor and move ...

New

Senior Data Engineer

Irvine, CA

$113K - $154K/yr

We are migrating the Vehicle Catalog to a new Databricks account while simultaneously building out a new vehicle catalog on that platform. As a Sr. Data Engineer, you will help us refactor and move ...

New

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Experience with Snowflake, Databricks, or modern cloud-native data platforms. Familiarity with Agile/Scrum methodology. Skills: Data Engineering. Data Pipeline Development. ETL/ELT Design and ...

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Experience with Snowflake, Databricks, or modern cloud-native data platforms. * Familiarity with Agile/Scrum methodology. Skills: * Data Engineering. * Data Pipeline Development. * ETL/ELT Design and ...

BAU_L3-Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Required : • Strong experience with Databricks, Apache Spark, and performance tuning. • ... Data Engineering, ETL/ELT, and large-scale data platforms. • Experience with CI/CD, DevOps, ...

BAU_L3 Support_Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Required : • Strong experience with Databricks, Apache Spark, and performance tuning. • ... Data Engineering, ETL/ELT, and large-scale data platforms. • Experience with CI/CD, DevOps, ...

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

The Data Engineer will build and maintain data pipelines and infrastructure to support the ... Databricks, etc.). • Exposure to real-time data processing or streaming systems. • Experience ...

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Showing results 1-20

Commission Databricks Data Engineer information

See Corona, CA salary details

$45.9K

$133.8K

$183.1K

How much do commission databricks data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for commission databricks data engineer in Corona, CA is $133,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,100.00 and $141,900.00 per year, depending on experience, location, and employer.

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

What are the most commonly searched types of Databricks Data Engineer jobs in Corona, CA?

The most popular types of Databricks Data Engineer jobs in Corona, CA are:

What cities near Corona, CA are hiring for Commission Databricks Data Engineer jobs?

Cities near Corona, CA with the most Commission Databricks Data Engineer job openings:

$122K - $147K/yr

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This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Lead Data Engineer - MSS

Must Have Technical/Functional Skills

Data Bricks , EBT ,Airflow , Asset Management exp

Roles & Responsibilities

Lead Data Engineer MSS

Experience

8 15 Years

________________________________________

Role Overview

We are looking for a highly skilled Lead Data Engineer with strong hands-on experience in Databricks, dbt, and Python, and a proven track record of leading and executing data platform migration and modernization programs. The ideal candidate will have experience migrating legacy data warehouses, ETL platforms, and cloud/on-prem data ecosystems to a modern Databricks Lakehouse architecture using dbt-based transformation frameworks. This is a hands-on leadership role requiring deep technical expertise, solution design capabilities, and the ability to mentor engineering teams while driving enterprise-scale data modernization initiatives.

Key Responsibilities

Data Engineering & Development

  • Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, and Python.
  • Develop and optimize ELT/ETL processes for large-scale data ingestion and transformation.
  • Implement robust data quality, monitoring, and reconciliation frameworks.
  • Build reusable data engineering components and frameworks.

Data Platform Migration & Modernization

  • Lead migration of legacy data platforms, data warehouses, and ETL ecosystems to Databricks Lakehouse.
  • Transform existing ETL workloads to modern ELT patterns using dbt.
  • Analyze source environments and define migration approaches, roadmap, and execution strategy.
  • Drive code conversion, performance optimization, and workload modernization efforts.

Databricks Engineering

Develop solutions leveraging:

  • Databricks Lakehouse Platform
  • Delta Lake
  • Unity Catalog
  • Databricks Workflows
  • Structured Streaming
  • Medallion Architecture (Bronze, Silver, Gold)

Optimize Spark jobs and Databricks workloads for performance and cost efficiency.

dbt Development

  • Build and maintain dbt models, macros, tests, and documentation.
  • Implement incremental processing and reusable transformation frameworks.
  • Establish data lineage, testing, and CI/CD best practices.
  • Work closely with business and analytics teams to build trusted datasets.

Leadership & Collaboration

  • Lead a team of data engineers and developers.
  • Perform code reviews and enforce engineering standards.
  • Collaborate with archit ects, product owners, business analysts, and stakeholders.
  • Mentor junior engineers and drive adoption of best practices.