Entry Level Databricks information
See Richmond, VA salary details
$40.1K - $49.3K
5% of jobs
$49.3K - $58.4K
10% of jobs
$64.2K is the 25th percentile. Wages below this are outliers.
$58.4K - $67.6K
16% of jobs
$67.6K - $76.8K
18% of jobs
The median wage is $77.6K / yr.
$76.8K - $86K
12% of jobs
$98.7K is the 75th percentile. Wages above this are outliers.
$95.1K - $104.3K
10% of jobs
$104.3K - $113.5K
7% of jobs
$113.5K - $122.7K
5% of jobs
$122.7K - $131.8K
3% of jobs
$131.8K - $141K
3% of jobs
How much do entry level databricks jobs pay per year?
As of Aug 21, 2026, the average yearly pay for entry level databricks in Richmond, VA is $85,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $102,400.00 per year, depending on experience, location, and employer.
Entry level Databricks jobs are positions for individuals who are new to working with Databricks, a cloud-based platform for big data analytics and machine learning. These roles often involve assisting with data pipeline development, managing datasets, and supporting data engineering or data analytics projects under supervision. Typical responsibilities include writing basic code in Python or SQL, helping to prepare data for analysis, and learning to use Databricks tools and features. These jobs are a great starting point for those interested in data engineering or data science careers and typically require foundational knowledge in programming and data concepts.
To thrive as an Entry Level Databricks professional, you need a solid understanding of data engineering or data analytics, proficiency in Python or Scala, and a basic grasp of distributed computing concepts. Familiarity with Databricks platform tools, Apache Spark, and cloud services like AWS or Azure is highly valued, and completing Databricks certification courses can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in collaborative, data-driven environments. These skills and qualities are crucial for efficiently managing big data workflows, troubleshooting issues, and contributing to team success in data analytics projects.
Entry-level Databricks professionals often encounter challenges such as understanding distributed computing concepts, efficiently writing Spark code, and managing data pipelines in a collaborative environment. To overcome these hurdles, it's helpful to engage in hands-on practice with Databricks notebooks, participate in team code reviews, and leverage Databricks' comprehensive documentation and community forums. Working closely with more experienced data engineers or data scientists can also accelerate learning and help new team members adapt to the platform's best practices.
To trigger a job in Entry Level Databricks, you can manually start it through the Databricks workspace by navigating to the Jobs tab and clicking the 'Run Now' button. You can also schedule jobs using the Databricks job scheduler or trigger them via API calls with appropriate authentication tokens. Familiarity with Spark, notebooks, and job configurations is helpful for managing and automating job executions.
What are the most commonly searched types of Databricks jobs in Richmond, VA?
The most popular types of Databricks jobs in Richmond, VA are:
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What cities near Richmond, VA are hiring for Entry Level Databricks jobs?
Cities near Richmond, VA with the most Entry Level Databricks job openings:
