ZipRecruiter

Log In

2

Entry Level Databricks Developer Jobs (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsDatabricks Developer JobsEntry Level Databricks Developer Jobs

Entry Level Databricks Developer information

See salary details

$29.5K

$100.3K

$241.5K

How much do entry level databricks developer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for entry level databricks developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

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 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 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.

More about Entry Level Databricks Developer jobs
What cities are hiring for Entry Level Databricks Developer jobs? Cities with the most Entry Level Databricks Developer job openings:
What are the most commonly searched types of Databricks Developer jobs? The most popular types of Databricks Developer jobs are:
What states have the most Entry Level Databricks Developer jobs? States with the most job openings for Entry Level Databricks Developer jobs include:
What job categories do people searching Entry Level Databricks Developer jobs look for? The top searched job categories for Entry Level Databricks Developer jobs are:
Entry Level Databricks Developer jobs near you
Infographic showing various Entry Level Databricks Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.
entry level Java Devops developer/Data scientist

entry level Java Devops developer/Data scientist

SynergisticIT

San Diego, CA

Other

Posted 21 days ago

Job description

Junior Data Scientist

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, 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. 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.

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