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Junior Databricks Jobs (NOW HIRING)

Leidos

Databricks Developer

Ashburn, VA · On-site

$131K - $237K/yr

Lead code reviews, enforce development standards, and mentor junior developers. * Troubleshoot and ... Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, clusters). * Deep ...

Databricks

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$164K - $205K/yr

... from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and ...

Databricks

$178K - $245K/yr

Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex ... Expertise in Databricks architecture, ecosystem, and strategic account planning. * Ability to ...

Databricks

$178K - $245K/yr

Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex ... Expertise in Databricks architecture, ecosystem, and strategic account planning. * Ability to ...

Leidos

Databricks Developer

Ashburn, VA

$131K - $237K/yr

Lead code reviews, enforce development standards, and mentor junior developers. * Troubleshoot and ... Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, clusters). * Deep ...

Deloitte

Senior Databricks Consultant

Sacramento, CA · On-site

Guide and mentor junior team members, sharing practical insights across the data and AI lifecycle ... Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are ...

Deloitte

Senior Databricks Consultant

Rosslyn, VA · On-site

Guide and mentor junior team members, sharing practical insights across the data and AI lifecycle ... Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are ...

Deloitte

Databricks Senior Consultant

Rosslyn, VA · On-site

Guide and mentor junior team members, sharing practical insights across the data and AI lifecycle ... Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are ...

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Junior Databricks information

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How much do junior databricks jobs pay per year?

As of Jun 6, 2026, the average yearly pay for junior databricks in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Databricks Engineer, and why are they important?

To thrive as a Junior Databricks Engineer, you need a foundational understanding of data engineering, SQL, and programming languages like Python or Scala, usually supported by a relevant degree. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and optionally Databricks certifications is highly valuable. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this collaborative, technical environment. These skills are vital for building efficient data pipelines, ensuring data quality, and contributing to data-driven business decisions.

What is the difference between Junior Databricks vs Data Engineer?

AspectJunior DatabricksData Engineer
Required SkillsBasic knowledge of Databricks, Spark, SQL, PythonAdvanced programming, ETL, data modeling, cloud platforms
Experience LevelEntry-level or 1-2 yearsMid to senior level, 2+ years
Work EnvironmentCollaborates with data teams, uses Databricks platformDesigns and builds data pipelines, manages data infrastructure
CertificationsOptional Databricks certificationsOften required certifications like AWS, Azure, or GCP data certifications

In summary, a Junior Databricks role focuses on entry-level tasks within the Databricks platform, often supporting data engineering projects. A Data Engineer has broader responsibilities, including designing and maintaining complex data pipelines across various platforms. Both roles require some technical skills, but Data Engineers typically have more experience and a wider skill set.

What are some typical challenges a Junior Databricks professional might encounter when starting in this role?

As a Junior Databricks professional, you may initially find it challenging to adapt to the platform's unified analytics workspace, especially if you're new to both cloud-based data engineering and collaborative workflows. Common hurdles include learning how to optimize Spark jobs for performance, understanding workspace permissions, and efficiently using Databricks notebooks for both development and documentation. However, most teams support newcomers through onboarding resources, mentorship, and code reviews, and you’ll have opportunities to collaborate closely with data engineers, analysts, and data scientists. Over time, these experiences will help you develop robust data engineering skills and prepare you for more advanced responsibilities.

What is a Junior Databricks Engineer?

A Junior Databricks Engineer is an entry-level professional who works with Databricks, a data analytics and machine learning platform built on Apache Spark. Their responsibilities typically include developing and maintaining data pipelines, assisting with data processing and analysis, and collaborating with data scientists and engineers to implement solutions. They may also help optimize data workflows and ensure data quality within the Databricks environment. Junior engineers usually have a foundational knowledge of programming, data engineering concepts, and cloud services. This role is ideal for those beginning their careers in data engineering or analytics.
What are the most commonly searched types of Databricks jobs? The most popular types of Databricks jobs are:
Databricks Developer

Databricks Developer

Leidos

Ashburn, VA • On-site

$131K - $237K/yr

Full-time

Posted 17 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 425 rated business services

Job description

The Homeland Sector within Leidos is seeking a Databricks Developer to design, develop and architect enterprise reporting solutions for critical systems supporting the Passenger Systems Program Directorate (PSPD) within Customs and Border Protection (CBP). PSPD supports the Department of Homeland Security (DHS) and CBP critical missions, specifically screening and processing travelers at the ports of entry (POEs) into the United States. This position is responsible for ensuring high data quality, robust architecture, and efficient development practices. The ideal candidate will have deep expertise in data warehouse concepts and Databricks, and will drive best practices in data engineering and reporting.
**This position REQUIRES the candidate to be in Ashburn, VA, twice a week**
Key Responsibilities:
  • Design and architect scalable enterprise reporting solutions using Databricks and data warehouse technologies.
  • Develop and optimize ETL pipelines, data models, and reporting frameworks.
  • Implement and monitor data quality controls, ensuring accuracy and consistency across datasets.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Lead code reviews, enforce development standards, and mentor junior developers.
  • Troubleshoot and resolve issues related to data integration, processing, and reporting.
  • Maintain documentation for architecture, design, and operational procedures.

Required Skills & Qualifications:
  • 10 years' experience in databases such as Oracle, PostGRES, Aurora, BigData
  • Minimum 5 years of experience in Software development should include the following technologies: Oracle & SQL
  • 3+ years of experience in DataLake/DataWarehouse conceptual design, implementation, case studies, and performance tuning.
  • Must be able to maintain and obtain a CBP Background Investigation prior to start
  • Must be a US citizen
  • Deep knowledge of AWS Cloud/BigData
  • Strong PLSQL and SQL experience, also Postgres SQL
  • Knowledge of ETL processes
  • Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, clusters).
  • Deep understanding of data warehouse concepts, dimensional modeling, and ETL processes.
  • Proficiency in SQL, Python, and/or Scala for data engineering tasks.
  • Experience with cloud platforms (preferably AWS) and integrating Databricks with cloud data services.
  • Software development experience in an Agile/SecDevOps environment with proven ability to deliver on commitments.

Preferred Qualifications:
  • Experience with CBP
  • CBP Full BI

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
February 19, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $131,300.00 - $237,350.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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