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Databricks Data Engineer Jobs in Fremont, CA (NOW HIRING)

Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and optimizing large-scale data pipelines. Strong understanding of data architecture fundamentals such ...

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 ...

New

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Job Role: Data Engineer Location: Mountain View, CA (Hybrid 3days onsite, 2 days remote ... Leverage advanced tools like Databricks for big data processing, ensuring the data is accessible ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

Data Engineer - Senior Associate

San Francisco, CA · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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

San Francisco, CA · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Snowflake Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks , including building and optimizing large-scale data pipelines. * Strong understanding of data architecture fundamentals ...

Data Engineer - III

San Francisco, CA · On-site

$134K - $162K/yr

The ideal candidate will have strong experience with Databricks, Python, PySpark, AWS, Spark-based data processing, and modern data engineering practices within Agile environments. Key ...

Showing results 21-40

Databricks Data Engineer information

See Fremont, CA salary details

$48.7K

$142K

$194.3K

How much do databricks data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for databricks data engineer in Fremont, CA is $141,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,500.00 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 Fremont, CA?

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

What are popular job titles related to Databricks Data Engineer jobs in Fremont, CA?

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

What job categories do people searching Databricks Data Engineer jobs in Fremont, CA look for?

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

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

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

Infographic showing various Databricks Data Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $141,996 per year, or $68.3 per hour.

Principal Data Scientist

Databricks Inc.

Mountain View, CA • On-site

$200 - $320/hr

Other

Re-posted 22 days ago


Job description

RDQ427R169
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C‑suite, and Board of Directors.

Our vision is simple: data drives every Databricks decision and action. To get there, we need a world‑class statistician and communicator — someone who can bridge the gap between deep analytical rigor and executive decision‑making. This is a pure IC role with company‑wide influence: no direct reports, maximum leverage.

Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation.

The Impact You Will Have
  • Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C‑suite, and Board of Directors — ensuring data science insights directly inform the company's most critical decisions.
  • Statistical authority. Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high‑stakes executive decisions. Advance the state‑of‑the‑art in how Databricks applies statistical methods to business problems.
  • Org‑wide uplevel. Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co‑authoring key executive‑facing deliverables. Make every DS team better at telling their story.
  • Strategic insights. Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning — the kind of synthesized, judgment‑rich insight that AI cannot autonomously create.
  • Cross‑functional influence. Partner with engineering VPs, product leaders, and executive staff to embed a data‑driven decision‑making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.
  • External thought leadership. Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world‑class talent.
  • Methodology and standards. Define and evolve company‑wide scientific methodologies — experimentation frameworks, forecasting systems, causal inference approaches — to match and push industry state‑of‑the‑art.
What We Look For Required
  • 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.
  • Proven track record of presenting statistical and data science concepts to C‑suite and Board‑level audiences, with measurable impact on executive decision‑making.
  • Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning.
  • Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non‑technical executives.
  • Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org‑wide output quality.
  • Experience at the intersection of statistics and large‑scale technology or data platforms.
  • Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
Preferred
  • Academic research or teaching background in statistics or a quantitative field.
  • Industry experience at multiple tier‑1 technology companies.
  • Published research or recognized thought leadership in applied statistics.
  • Experience building or leading a "Chief Statistician" or equivalent function.
  • Experience in infrastructure, platform, or systems‑oriented data science.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Citizen or permanent resident of Cuba, Iran, North Korea, or Syria

Ordinarily a resident of Cuba, Iran, North Korea, Syria or the Crimea, Donetsk, Luhansk, Zaporizhzhia, or Kherson regions of Ukraine

Ordinarily a resident of Russia or Belarus and not willing to relocate for a Databricks role

None of the above

U.S. permanent resident (Green Card holder)

Individual granted asylum in the U.S.

Individual granted refugee status in the U.S.

Individual granted citizenship in a country other than Cuba, Iran, North Korea, or Syria

Individual granted permanent residency in a country other than Cuba, Iran, North Korea, or Syria

None of these apply to me

Not applicable (i.e., I selected “none of the above” for the prior question)

Disability conditions
  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention‑deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury

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