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Entry Level Databricks Developer Jobs in Ashburn, VA

... of Data Engineering Pipelines * Utilize Databricks, Python, SQL and database operations and ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Entry/Junior Software Developer

Washington, DC · On-site

$75.90K - $98.50K/yr

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 ...

Jr. Powerbi Developer

Fairfax, VA · On-site

$69K - $89.70K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java /Full stack ...

Junior Software Developer

Washington, DC · On-site

$75.90K - $98.50K/yr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python ... NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java /Full stack ...

Junior Software Developer - Remote

Washington, DC · On-site

$75.90K - $98.50K/yr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. Required skills for Java/full stack ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. Required skills for Java/full stack ...

Entry Level Databricks Developer information

See Ashburn, VA salary details

$30.2K

$102.5K

$247K

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

As of May 28, 2026, the average yearly pay for entry level databricks developer in Ashburn, VA is $102,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $108,400.00 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.

What are the most commonly searched types of Databricks Developer jobs in Ashburn, VA? The most popular types of Databricks Developer jobs in Ashburn, VA are:
What are popular job titles related to Entry Level Databricks Developer jobs in Ashburn, VA? For Entry Level Databricks Developer jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Developer jobs in Ashburn, VA look for? The top searched job categories for Entry Level Databricks Developer jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Entry Level Databricks Developer jobs? Cities near Ashburn, VA with the most Entry Level Databricks Developer job openings:
Databricks Engineer

Databricks Engineer

Deloitte

Arlington, VA • On-site

Full-time

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work You'll Do
As a Project Delivery Specialist on the project, you will:
  • Participate in and contribute to the development and maintenance of Data Engineering Pipelines
  • Utilize Databricks, Python, SQL and database operations and processing concepts in a CI/CD environment
  • Clean, standardize, and transform raw data using repeatable routines for validation, deduplication, and business-rule application to deliver client-specified output formats and curated analytics-ready tables
  • Ingest and integrate client datasets by coordinating secure data transfers, profiling incoming files, and orchestrating end-to-end pipelines
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Qualifications
Required:
  • Bachelor's degree required
  • Must be able to obtain and maintain the required Public Trust clearance for this role
  • 2+ years of relevant experience in data engineering and/or analytics roles supporting production data pipelines, reporting, and stakeholder-driven analysis.
  • 2+ years of relevant experience of development experience with Databricks to build, deploy, share, and maintain data and analytics solutions
  • Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
  • Master's degree preferred
  • Previous Federal Health experience preferred
  • Active Public Trust clearance preferred
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 325021
Job ID 325021

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