ZipRecruiter

Log In

2

Part Time Databricks Jobs (NOW HIRING)

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/yr

Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake. * Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of ...

Booz Allen Hamilton, Inc.

ML Administrator

Doral, FL · On-site

$77K - $176K/yr

Experience in Databricks platform administration, including workspace management, cluster ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... Databricks, and SQL Server environments. The position emphasizes production-grade data engineering ...

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake. * Knowledge ...

Booz Allen Hamilton, Inc.

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

Experience with Databricks * Experience with data warehousing using AWS Redshift, MySQL, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

All JobsDatabricks JobsPart Time Databricks Jobs

Part Time Databricks information

See salary details

$30K

$45.9K

$77.5K

How much do part time databricks jobs pay per year?

As of Jun 9, 2026, the average yearly pay for part time databricks in the United States is $45,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $48,000.00 per year, depending on experience, location, and employer.

What are part-time Databricks jobs?

Part-time Databricks jobs are positions that involve working with Databricks, a data analytics and machine learning platform, but on a reduced or flexible schedule rather than full-time hours. These roles may include data engineering, data analysis, or machine learning tasks that leverage Databricks' cloud-based tools. Part-time roles are ideal for students, freelancers, or professionals seeking work-life balance while still contributing to big data and AI projects. Responsibilities and required skills are similar to full-time positions but with fewer hours and potentially more flexible arrangements.

What are some typical projects or tasks a part-time Databricks professional might handle, and how is workload usually managed?

As a part-time Databricks professional, you may be assigned to support data engineering tasks such as building and maintaining ETL pipelines, optimizing data workflows, or assisting with data analysis within the Databricks environment. Workload is often structured around project-based assignments, so effective time management and clear communication with full-time team members is essential. You’ll likely collaborate with data scientists, analysts, and engineers, contributing to code reviews or troubleshooting issues. Flexibility is key, as priorities may shift based on project deadlines and business needs.

What are the key skills and qualifications needed to thrive as a Part Time Databricks professional, and why are they important?

To thrive as a Part Time Databricks professional, you need a solid understanding of data engineering, SQL, and cloud computing, typically backed by experience in big data platforms and a relevant degree. Familiarity with Databricks, Apache Spark, Python, and cloud services like AWS or Azure—as well as certifications such as Databricks Certified Associate Developer—are highly valuable. Strong problem-solving, time management, and communication skills help you deliver results efficiently in a part-time, often collaborative setting. These skills are crucial for ensuring effective data processing, seamless integration with business needs, and the ability to contribute meaningfully within limited working hours.
More about Part Time Databricks jobs
What cities are hiring for Part Time Databricks jobs? Cities with the most Part Time Databricks job openings:
What are the most commonly searched types of Databricks jobs? The most popular types of Databricks jobs are:
What states have the most Part Time Databricks jobs? States with the most job openings for Part Time Databricks jobs include:
What job categories do people searching Part Time Databricks jobs look for? The top searched job categories for Part Time Databricks jobs are:
Part Time Databricks jobs near you
Infographic showing various Part Time Databricks job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $45,930 per year, or $22.1 per hour.
Databricks Engineer, Mid

Databricks Engineer, Mid

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 19 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0232557
Location:
McLean,VA,US
Share job via:
Share
Databricks Engineer, Mid
The Opportunity:
As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil clients. You'll help design, build, and maintain scalable data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale.
Join a team that accelerates national security outcomes through data engineering excellence. Work with cutting-edge tools like Databricks, Delta Lake, and PySpark to transform raw data into actionable insights for America's toughest challenges. Due to the nature of work performed within this facility, U.S. citizenship is required.
Work with us to use data for good.
What You'll Work On:
  • Build and optimize ELT or ETL pipelines using Databricks Notebooks, Delta Live Tables (DLT), Workflows, and Unity Catalog.
  • Implement data ingestion, transformation, and quality processes with PySpark, Spark SQL, and Delta Lake best practices such as incremental mergers, ACID transactions, or SCD patterns.
  • Collaborate with data scientists, analysts, and mission stakeholders to understand requirements and deliver reliable, governed data assets.
  • Support data platform operations, monitor pipeline performance, troubleshoot issues, and contribute to cost optimization, including leveraging Photon engine.
  • Contribute to medallion architecture implementations, including bronze, silver, and gold layers, in cloud storage environments such as Azure ADLS or AWS S3.
  • Document pipelines, data models, and processes to ensure maintainability and knowledge transfer.
  • Learn and apply emerging Databricks capabilities to advance client missions.

Join us. The world can't wait.
You Have:
  • 2+ years of experience in data engineering, software development, or analytics engineering
  • Experience with Databricks, including notebooks, Delta Lake, Workflows, or DLT, in academic, internship, or professional environments
  • Experience writing SQL queries for data analysis and transformation
  • Experience with Python programming such as scripting and data manipulation
  • Knowledge of distributed data processing concepts such as Spark fundamentals, including partitioning, caching, and shuffle
  • Ability to work in a team environment and communicate technical concepts to non-technical stakeholders
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree in CS, Engineering, Information Systems, or Mathematics

Nice If You Have:
  • Experience with cloud platforms such as Azure, AWS, or GCP, and object storage
  • Experience with orchestration tools such as Databricks Workflows, Airflow, or dbt
  • Experience with streaming data processing or real-time pipelines
  • Knowledge of Git for version control and collaborative development
  • Knowledge of data governance concepts, including Unity Catalog and access controls
  • Databricks Certified Data Engineer Associate Certification

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

View All Booz Allen Hamilton Jobs

Apply