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Entry Level Databricks Data Engineer Jobs in San Jose, CA

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 ...

Socket.dev

Solutions Architect - MFG

San Francisco, CA · On-site

$180 - $248/hr

... data. * Production programming expertise in Python, R, Scala, or Java * Experience practicing live/vibe coding sessions with stakeholders * Nice to have: Databricks Certifications Pay Range ...

Socket.dev

Data Platform Engineer

San Francisco, CA · On-site

$200 - $250/hr

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in ... Databricks, Fivetran, or Tableau. * Effective Communication : Strong verbal and written ...

Staffingine LLC

Data Scientist

San Francisco, CA · On-site

Data Scientist Job Location: San Francisco Job Type: Contract * 50% - Consulting with internal ... Databricks / PySpark 4. Explain how you would use PySpark for feature engineering on large datasets ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms. * Experience with ...

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms. * Experience with ...

Pwc

AI & GenAI Data Scientist - Manager

San Francisco, CA · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Databricks

Solutions Architect

San Francisco, CA · On-site +1

$74.25 - $97.75/hr

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

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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 Sep 4, 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:

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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 52% Full Time, 27% Part Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $81,292 per year, or $39.1 per hour.

Data Platform Engineer

QuickLaunch Analytics

Santa Cruz, CA • On-site, Remote

$132K - $158K/yr

Full-time

Re-posted 4 days ago

Job description

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.


AtQuickLaunchAnalytics, we help organizations simplify the complex world of data. As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting.You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.

WhatYou'llDo

  • Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization
  • Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and orchestration across Databricks and Microsoft Fabric
  • Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments
  • Develop and manage ETL/ELT integrationsacross third-party tools and custom APIs, ensuring reliable, production-grade data workflows
  • Implement secure, high-performance data architectures, including Unity Catalog,OneLakesecurity, networking (VPNs, private endpoints), and cost optimization
  • Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric

Who You Are

  • Strong hands-on experience withDatabricksand/or Fabric,Spark,Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines
  • Solid foundation indatabase concepts and data modeling, with experience working across structured and semi-structured datasets
  • Experience withETL/ELT tools and data integration, including tools likeFivetranand building/customizingAPI-based data pipelines
  • Comfortable working incustomer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
  • Working knowledge ofidentity and access management concepts(e.g., Entra ID users, groups, and permissions)
  • Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently
  • Ability to communicate effectively with both technical and non-technical customers and team members

Nice to Have

  • Experience usingAI and automation toolsto streamline workflows, including exposure toAI agents or intelligent automation frameworks
  • Experience configuring private endpoints in Azure, including networking setup and DNS configuration
  • Understanding of Power BI and Fabric licensing and how licensing mightimpactdeployment approach
  • Familiarity withLinux environmentsand cloud-based data ecosystems


Working Location: Remote(USA)or hybrid (Santa Cruz County, CA)


Compensation:The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.

About Us:

AtQuickLaunchAnalytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years,we'vehelped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We'rea team of 35+ professionals with deepexpertisein Power BI, Databricks, and Azure Cloud. Our culture is built onownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact,we'dlove to hear from you.

Apply