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Entry Level Databricks Developer Jobs in California

SynergisticIT

Entry Level Java Developer

Fremont, CA

Data Engineering (Apache Spark, Databricks, ETL, Airflow, cloud data lakes and warehouses) Everything is tied to real-world s, so you're learning what companies actually hire for. Mentorship and Mock ...

SynergisticIT

jr java developer/Data analyst

Berkeley, CA

$139K - $167K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Data Analytics and Engineering -SQL, Power BI, Tableau, Snowflake, Databricks, Python ETL, and more ...

SynergisticIT

AI / ML Engineer

Santa Monica, CA

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow If you get emails from our Job Placement ...

SynergisticIT

Software Engineer I

Chula Vista, CA · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Java / Full Stack / DevOps Roles * Bachelor's or Master's in CS, CE, EE, IT, or IS * Java ...

Pwc

Data Engineer - Senior Associate

Sacramento, CA

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Los Angeles, CA · On-site

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

San Diego, CA · On-site

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsEntry Level Databricks Developer JobsEntry Level Databricks Developer Jobs in California

Entry Level Databricks Developer information

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Developer, and why are they important?

To thrive as an Entry Level Databricks Developer, you need a solid understanding of Python or Scala, basic data engineering concepts, and a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms like Azure or AWS, and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and adapt to evolving project needs. These skills and qualifications are crucial for efficiently developing, managing, and optimizing big data solutions in enterprise environments.

What does an Entry Level Databricks Developer do?

An Entry Level Databricks Developer works with the Databricks platform to help organizations process and analyze large datasets. Their responsibilities typically include developing data pipelines, writing and optimizing Spark jobs, and collaborating with data engineers and analysts to transform raw data into useful insights. They use programming languages like Python, SQL, or Scala within the Databricks environment and often support data integration and automation efforts. Entry-level developers focus on learning best practices and gaining experience with big data tools and cloud platforms.

What is the difference between Entry Level Databricks Developer vs Data Engineer?

AspectEntry Level Databricks DeveloperData Engineer
Required CredentialsBasic knowledge of Spark, SQL, and cloud platforms; often a degree in CS or related fieldSimilar credentials; often includes certifications in cloud platforms and data tools
Work EnvironmentFocus on developing and optimizing Spark/Databricks notebooks, collaborating with data teamsDesigning, building, and maintaining data pipelines and infrastructure
Industry UsageUsed in companies leveraging Databricks for data analyticsUsed across industries for large-scale data processing and storage

While both roles require knowledge of Spark and cloud platforms, an Entry Level Databricks Developer primarily focuses on developing data solutions within Databricks, whereas a Data Engineer handles broader data pipeline architecture and infrastructure. The roles often overlap but differ in scope and responsibilities.

What are the typical projects and team dynamics experienced by an Entry Level Databricks Developer?

As an Entry Level Databricks Developer, you will typically work on projects involving data pipeline development, ETL processes, and collaborative data analysis using Databricks and Apache Spark. You’ll often be part of a cross-functional team that includes data engineers, data scientists, and business analysts, collaborating to solve data-driven business challenges. The work environment is usually fast-paced, with frequent code reviews, agile sprints, and mentorship from senior developers. This structure helps you quickly build technical expertise while gaining exposure to best practices in big data and cloud-based analytics.
What are the most commonly searched types of Databricks Developer jobs in California? The most popular types of Databricks Developer jobs in California are:
What are popular job titles related to Entry Level Databricks Developer jobs in California? For Entry Level Databricks Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Developer jobs in California look for? The top searched job categories for Entry Level Databricks Developer jobs in California are:
What cities in California are hiring for Entry Level Databricks Developer jobs? Cities in California with the most Entry Level Databricks Developer job openings:
Entry Level Databricks Developer jobs near you
Infographic showing various Entry Level Databricks Developer job openings in California as of June 2026, with employment types broken down into 2% Locum Tenens, 88% Full Time, and 10% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
entry level Java Devops developer/Data scientist

entry level Java Devops developer/Data scientist

SynergisticIT

Sacramento, CA • On-site

$62.25 - $79.50/hr

Other

Posted 3 days ago

Job description

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure.
we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit's JOPP focuses on closing the gap between your tech skills and what employers want now.
The numbers say it all: Synergisticit JOPP grads get salaries ranging anywhere from $90,000 per annum to $154,000 based on the roles and the technologies they are skilled on. Where?: Apple, Google, Walmart Labs, Ford Motors, Client, Visa, Wells Fargo, Client, Client, BHN, Banking, Walgreens, Autozone, PayPal, Client, and more.
We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates
Ideal Candidates:

  • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience
  • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack
  • Professionals seeking a career switch to tech
  • Candidates with career gaps or lacking real-world experience
  • Individuals looking to boost their skill portfolio for better job prospects
  • Computer Science grads with limited or no job experience
  • Students who recently finished their Bachelor's or Master's programs
  • Those struggling to land interviews despite having experience
  • Candidates on F1/OPT needing a job for STEM extension or H-1B filing

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
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  • please check the below links
  • Synergisticit Job Placement Program: Get Hired for Tech Jobs
  • Java Job placement Program: Get Hired for Java Full stack Jobs
  • Data Science Job Placement Program: Get hired for data jobs
  • SynergisticIT USA Today Article
  • Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT
  • please check the below links
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT
Wage-Based H-1B Filing
Backend vs. Full Stack Development: Job Prospects | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Is AI Going to Replace Software Programmers? | SynergisticIT
As a Junior Data Scientist, you will join a team solving complex business challenges using advanced analytics and machine learning. We expect hands-on experience in U.S.-based project teams working with tools like PyTorch, TensorFlow, Databricks, and AWS Glue. This commercial or industry experience is necessary to meet client specifications; university work or experience outside the U.S., while valuable, does not constitute sufficient preparation for our roles.
Responsibilities
  • Work collaboratively on supervised projects, conducting data cleaning, feature engineering, and model validation using PySpark and Databricks.
  • Help design production ML models in PyTorch or TensorFlow.
  • Build reports and dashboards in Power BI or Tableau.
  • Communicate analyses and results to stakeholders.
U.S. project teams require evidence of participation in regulated, appropriately documented workflows.
Required Skills
  • Python, PySpark, PyTorch, and TensorFlow.
  • Data pipeline tools: Databricks, AWS Glue, Snowflake.
  • Dashboarding with Power BI or Tableau.
Preferred Qualifications
  • BS or MS degree in a data science-related field.
  • Certifications in cloud or ML technologies.
  • Exposure to industry-scale U.S. data science deployments.
Missing Qualifications?
The SynergisticIT Job Placement Program can address experience gaps

Apply