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Commission Databricks Data Engineer Jobs in Santa Rosa, CA

The Role As a full stack engineer at Doxel, you will help define and build the next generation of ... Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery

AI Architect for SAP

Santa Rosa, CA ยท On-site

$90 - $121/hr

Data & AI Engineering โ€ข Define enterprise data architecture supporting AI initiatives. โ€ข Design AI-ready data foundations leveraging: o SAP Datasphere o SAP HANA Cloud o Databricks o Snowflake o ...

AI Architect for SAP

Sonoma, CA ยท On-site

$92.25 - $124/hr

Data & AI Engineering โ€ข Define enterprise data architecture supporting AI initiatives. โ€ข Design AI-ready data foundations leveraging: o SAP Datasphere o SAP HANA Cloud o Databricks o Snowflake o ...

Full Stack Software Engineer

Bodega Bay, CA ยท Remote

$150K - $165K/yr

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers ... Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery

Display Algorithm Engineer

Bodega Bay, CA ยท On-site

$129K - $225K/yr

We want for someone passionate about analyzing engineering problems with data and delivering ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Display Module Engineer

Bodega Bay, CA ยท On-site

$129K - $225K/yr

... conduct data analysis to ensure our displays meet Apple's world-class quality standards Work ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Software Engineer, Observability

Bodega Bay, CA ยท On-site

$184K - $277K/yr

If the thought of working with petabytes of data interests you, this is the place to be. Our ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

AR/VR Design Validation Engineer

Bodega Bay, CA ยท On-site

$184K - $324K/yr

... build data Define characterization pipelines, build plans, and data architecture to establish a ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Failure/Data Analysis - Plan, develop and implement procedures for the testing and evaluation of ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

AR/VR Design Validation Engineer

Bodega Bay, CA ยท On-site

$150K - $225K/yr

... build data Define characterization pipelines, build plans, and data architecture to establish a ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Showing results 21-40

Commission Databricks Data Engineer information

See Santa Rosa, CA salary details

$48.7K

$141.8K

$194.1K

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

As of Sep 9, 2026, the average yearly pay for commission databricks data engineer in Santa Rosa, CA is $141,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $150,300.00 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 Santa Rosa, CA?

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

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

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

Senior Full Stack Software Engineer

Bodega Bay, CA โ€ข On-site

Doxel
Software Developmentย โ€ขย 11 - 50 employees

$180K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago


Key responsibilities

  • Design and develop full-stack applications for project management, commissioning workflows, and data capture.

  • Build web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation.

  • Collaborate with cross-functional teams to deliver seamless end-to-end features and optimize applications for speed and scale.


Job description

Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!


The Role
As a full stack engineer at Doxel, you will help define and build the next generation of our project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale.
 
You’ll help build and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers. You’ll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter.
 
You’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences. You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices. 
Your Day to Day
  • Designing and developing full-stack applications powering project management, commissioning workflows, and data capture
  • Building web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
  • Developing intuitive, high-performance UIs that handle complex data streams and large-scale datasets
  • Working on backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
  • Collaborate cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
 
What Success Looks Like
  • Managing individual project priorities, deadlines and deliverables
  • Designing and implementing new user-facing features in Doxel’s products
  • Optimizing web applications to maximize speed and scale
  • Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
  • Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
  • Championing usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
  • 8+ years of experience building and shipping full-stack web and mobile applications
  • Expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
  • Strong engineering experience with Typescript, Python or Java, and APIs
  • Experience developing applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
  • Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
  • Experience working with a team to design domain-driven data models and working with OLTP/OLAP system
Preferred Experience
  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
  • Background with offline-capable architectures and mobile-first data collection tools
  • Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
  • Exposure to ML/AI-driven feature development.
  • Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days
​​Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience.

Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.