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Entry Level Databricks Developer Jobs (NOW HIRING)

Judge Group, Inc.

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Open to entry-level through senior candidates; no minimum or maximum years of experience required ... Databricks * Experience with automation and data engineering workflows. * Strong analytical and ...

SynergisticIT

Junior Data Scientist

Jacksonville, FL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data ...

SynergisticIT

Junior Data Scientist

Jacksonville, FL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data ...

540

Associate Solutions Architect

Arlington, VA · Remote

$72.50 - $95.50/hr

... engineers, technical leads, and customer stakeholders to support solutions across Databricks, AWS, Microsoft Azure, Oracle Cloud, and on-premises environments. This is an entry-level opportunity for ...

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Entry Level Databricks Developer information

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$241.5K

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

As of Sep 13, 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 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 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 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 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.

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Entry Level Databricks Developer jobs near you
Infographic showing various Entry Level Databricks Developer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Data Engineer Analyst (WDP)

Chantilly, VA • On-site

Bespoke Technologies, Inc
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Bespoke Technologies, Incexternal

Full-time

Re-posted 7 days ago

Job description

BT-156 - Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon
**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**
Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.
Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.

Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.

Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).

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