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Databricks Data Engineer Jobs in California (NOW HIRING)

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

TekLeaders, Inc

Databricks Architect

San Francisco, CA · On-site

$76.25 - $100.25/hr

Databricks Data Engineering Professional certification (or equivalent advanced Databricks certification) with completion of all recommended learning paths and coursework. Databricks has a Databricks ...

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Databricks Engineer Experience 4-8 years Location As per business requirement Employment Type ... Integrate data from various sources including relational databases, APIs, cloud storage, and ...

PamTen Inc

Senior Data Engineer (Databricks)

Los Angeles, CA · On-site

$114K - $155K/yr

Senior Data Engineer (Databricks) Location: Los Angeles, CA (or) Irvine, CA (or), NYC, NY (or), Seattle, WA (Hybrid) Project description We are seeking a seasoned professional whose role sits at the ...

New

USG, Inc.

Databricks Architect - SFO, CA

San Francisco, CA · On-site

$76.25 - $100.25/hr

Databricks Data Engineering Professional certification (or equivalent advanced Databricks certification) with completion of all recommended learning paths and coursework. * Databricks has a ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

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Showing results 21-40

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in California

Databricks Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do databricks data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for databricks data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

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, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in California?

The most popular types of Databricks Data Engineer jobs in California are:

What are popular job titles related to Databricks Data Engineer jobs in California?

For Databricks Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in California look for?

The top searched job categories for Databricks Data Engineer jobs in California are:

What cities in California are hiring for Databricks Data Engineer jobs?

Cities in California with the most Databricks Data Engineer job openings:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in California as of September 2026, with employment types broken down into 2% Internship, 71% Full Time, and 27% Contract. Highlights an 78% In-person, 5% Hybrid, and 17% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Chief Architect - Data Engineering (Databricks Practice)

California City, CA • On-site

UNISON Group
See more jobs at UNISON Groupexternal

Other

Posted 21 days ago

Job description

We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings.

Architecture & Delivery
  • Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices.
  • Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement.
  • Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including assessment, wave planning, and cutover.
  • Stay hands-on: performance tuning, debugging, code and design reviews, and setting engineering standards for the team.
Presales & Stakeholder Management
  • Own and defend enterprise solution designs in front of architecture boards, CIOs, and CTOs — and enjoy it.
  • Drive presales end-to-end: discovery, solutioning, estimation, PoCs, RFPs, and proposals that convert.
  • Translate hard technical trade-offs into decisions executives can act on — from engineer to boardroom without changing gears.
Who Thrives Here
  • A builder at heart — 12+ years in data engineering/architecture, 3+ on Databricks at enterprise scale, and still happiest when hands are on the keyboard.
  • Deep Spark expertise — architecture, performance tuning, streaming, debugging, the advanced stuff that separates architects from diagram-drawers.
  • Lakehouse fluency — Medallion architecture, Delta Lake, Unity Catalog, governance, orchestration (Workflows, DLT/Lakeflow, Airflow, ADF); Microsoft Fabric exposure a bonus.
  • Battle-tested in migrations — you've led large transformation programs and have the scars and success stories to show for it.
  • Presales instinct — you don't just design solutions; you sell them, price them, and defend them under fire.
  • Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build.
  • Certified credibility — Databricks Data Engineer Professional / SA accreditations strongly preferred.
  • Founder energy — curiosity, adaptability, and the drive to build offerings, not just deliver projects
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