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Trainee Databricks Data Engineer Jobs in Milpitas, CA

Winwire Technologies

Data Engineer

Santa Clara, CA · On-site

$210.75 - $230/hr

Apply the architectural principles on Databricks for the Azure Cloud/Data Application Environments ... Engineer, Technical Lead, or related occupation. Requires travel/relocation to various ...

New

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 ...

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1640 At Databricks, we're passionate about enabling data teams to solve the world's toughest ... Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard ...

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1691 At Databricks, we're passionate about enabling data teams to solve the world's toughest ... Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard ...

Databricks

Principal Engineer - Privacy

Mountain View, CA · On-site

$278K - $339K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Databricks

Sr Software Engineer-Networking

Mountain View, CA · On-site

$166K - $225K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We are seeking experienced Senior Software Engineers with large-scale distributed system experience ...

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All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Milpitas, CA

Trainee Databricks Data Engineer information

See Milpitas, CA salary details

$51.9K

$151.2K

$206.9K

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

As of Sep 3, 2026, the average yearly pay for trainee databricks data engineer in Milpitas, CA is $151,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $160,200.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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

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Trainee Databricks Data Engineer jobs near you

Senior Engineering Manager - Enzyme

Databricks Inc.

Mountain View, CA • On-site

$229 - $317/hr

Other

Posted 22 days ago

Job description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

We are the Lakeflow Engineering team, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.

We're seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.

The main responsibilities include:
  • You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform.

You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.

You will build processes to implement product vision and strategy, according to organizational goals and priorities.

You will build software that is not just high quality but easy to operate.

What we look for:
  • Minimum 3 years of experience in managing top-tier engineering teams
  • 5+ years experience building data infrastructure systems such as Apache Spark B2 or database internals.
  • A passion for database systems, storage systems, distributed systems, or performance optimization
  • Experience working with product management, and directly with customers; ability to understand customer needs.
  • Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
  • Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.
Pay Range Transparency

Local Pay Range

$228,600 — $317,233 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 .
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 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.

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