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Entry Level Databricks Data Engineer Jobs in San Jose, CA

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 ...

Databricks

Senior Data Scientist

Mountain View, CA · On-site

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Databricks

Systems PhD - Software Engineer

Mountain View, CA · On-site

$205K - $244K/yr

Job Summary : Databricks is a leading data and AI company that simplifies the entire data lifecycle through a unified platform. They are seeking a Systems PhD - Software Engineer to join their ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

OpenAI

IT Controls Data Engineer

San Francisco, CA · On-site

$293K - $325K/yr

Experience with Entra ID, Workday, GitHub, Databricks, Salesforce, or similar platforms ... You enjoy working at the intersection of data, controls, engineering, and audit. * You can go deep ...

Databricks Inc.

Senior Data Scientist

Mountain View, CA · On-site

$123.20 - $218/hr

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Armanino LLP

Data & AI Platform Engineer

San Ramon, CA · On-site

$128K - $153K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Armaninollp

Data & AI Platform Engineer

San Ramon, CA

$128K - $153K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Armaninollp

Data & AI Platform Engineer

San Francisco, CA

$134K - $162K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Armaninollp

Data & AI Platform Engineer

San Jose, CA

$134K - $161K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be ... data. As aData Platform Engineer, you will play a critical role in designing, building, and ...

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Showing results 21-40

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 23, 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 August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $81,292 per year, or $39.1 per hour.

Databricks Admin with AWS

Precision Technologies Corp

Menlo Park, CA • On-site

Contractor

Re-posted 28 days ago

Job description

  • Databricks Platform Infrastructure: Design, build, and maintain data infrastructure on the Databricks Platform, including Spark and Databricks SQL.
  • Data Team Enablement: Provide technical expertise and support to Data Scientists, Data Engineers, and Analysts, enabling them to effectively utilize the Databricks platform.
  • Performance Optimization: Optimize Databricks workloads for performance, scalability, and cost efficiency.
  • Infrastructure as Code (IaC): Implement and manage infrastructure using IaC tools such as Terraform or CloudFormation.
  • Security and Governance: Implement and maintain security and governance best practices for the Databricks platform.
  • Monitoring and Troubleshooting: Monitor the health and performance of the Databricks infrastructure and troubleshoot and resolve technical issues.
  • Best Practices: Develop and document best practices for Databricks platform management.

Minimum Qualifications:

  • Extensive hands-on experience with the Databricks Platform, including Delta Lake, Spark, and Databricks SQL.
  • Proven experience in building and maintaining cloud-based data infrastructure, preferably on AWS.
  • Strong understanding of data warehousing, data lake, and data engineering concepts.
  • Demonstrated experience supporting Data Scientists, Data Engineers, and Analysts.
  • Proficiency in Infrastructure as Code (IaC) tools. Preferably Terraform.
  • Experience with data pipelines, ETL/ELT processes, and data modeling.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.