ZipRecruiter

Log In

2

Entry Level Databricks Data Engineer Jobs in San Jose, CA

Perficientcorp Inc

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 ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Dlapiper

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Dlapiper

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks ... of experience as a Data Engineer (or Backend Engineer with heavy data exposure) * Strong ...

Gridware

Data Engineer

San Francisco, CA

$160K - $175K/yr

Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks ... of experience as a Data Engineer (or Backend Engineer with heavy data exposure) * Strong ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks ... of experience as a Data Engineer (or Backend Engineer with heavy data exposure) * Strong ...

Forhyre

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

Forhyre

Data Engineer

San Francisco, CA

$134K - $162K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

Knit Health

Data Engineer II

San Francisco, CA · On-site

$110K - $135K/yr

Azure and Databricks preferred, but strong experience with AWS or GCP translates * Data engineering concepts: a solid grounding in batch and streaming processing, data modeling, orchestration, data ...

TSW Core LLC

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Proficiency in programming language such as R, Python and Spark; relationship database languages, such as SQL and Hive; as well as data visualization tools such as Tableau and Databricks Preferred:

Databricks

Solutions Architect

San Francisco, CA · On-site

$180K - $247K/yr

An ability in data-driven business transformation, and driving change with data. * Production programming experience in Python, R, Scala or Java * Nice to have: Databricks Certification Pay Range ...

New

Info Way Solutions

Job Role : Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Job Summary : Info Way Solutions is seeking a Data Engineer to support their client with a ... Azure/AWS Cloud, Databricks, Azure HD Insights, ADF or similar • Advanced working SQL knowledge ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in San Jose, CA

Entry Level Databricks Data Engineer information

See San Jose, CA salary details

$35.2K

$81.3K

$138.3K

How much do entry level databricks data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level databricks data engineer in San Jose, CA is $81,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $92,000.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

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

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

What are popular job titles related to Entry Level Databricks Data Engineer jobs in San Jose, CA?

For Entry Level Databricks Data Engineer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Data Engineer jobs in San Jose, CA look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Entry Level Databricks Data Engineer jobs?

Cities near San Jose, CA with the most Entry Level Databricks Data Engineer job openings:

Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in San Jose, CA as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,292 per year, or $39.1 per hour.

Staff Research Engineer, Data Agents

Databricks

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Re-posted 17 days ago

Job description

About Databricks
Databricks is the Data + AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 - rely on the Databricks Lakehouse Platform to unify their data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe.
About the Team
The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.
The Data Agent team within AI Research is dedicated to pioneering frontier enterprise data agents. Our research focuses on developing agents capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings. The team's primary technical pillars include post-training enhancements, harness design, agentic reinforcement learning (RL), and the construction of specialized RL environments. As a member of this team, you will bridge the gap between cutting-edge AI research and product development by shipping direct improvements to Genie, Databricks' agent product that provides significant value to our user base.
The impact you will have
  • Develop the best post-training recipes to train enterprise Data agents, that are capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings.
  • Partner closely with product teams to turn prototypes and research ideas into the best agentic experience for Databricks users.
  • Build systems that help the agent discover and use relevant lakehouse context, including tables, notebooks, code, and cell outputs, to produce more accurate and useful results.
  • Raise the technical bar for the team through strong design, execution, debugging, and mentorship, helping shape the long-term direction of agentic experiences at Databricks.
What we look for
  • BS, MS, or PhD in Computer Science or a related field.
  • 2+ years of experience in an applied research environment, with a track record of shipping research prototypes to production.
  • Experience in LLMs, agents, reinforcement learning, post-training workflows.
  • Ability to work effectively in a fast-moving environment that blends research exploration with product and engineering rigor.
  • Clear communication and strong cross-functional collaboration with researchers, engineers, and product stakeholders.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$190,000-$270,000 USD
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.
BenefitsAt 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 click here.
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.
Applicant Privacy Notice

Apply