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Part Time Azure Databricks Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Databricks Engineer

Bethesda, MD · On-site

$62K - $141K/yr

Knowledge of cloud platforms such as AWS, Azure, or GCP and their data services * Ability to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Climate First Bank

Data Engineer

Saint Petersburg, FL · On-site +1

$108K - $130K/yr

Please note that benefit eligibility varies by employment status and that benefits for part-time ... Use Azure Databricks for big data transformations & analytics. * Optimize SQL queries, stored ...

New

Climate First Bank

Data Engineer

$117K - $140K/yr

Please note that benefit eligibility varies by employment status and that benefits for part-time ... Use Azure Databricks for big data transformations & analytics. * Optimize SQL queries, stored ...

Bechtel

PIM-Sr Analyst-Databricks & Reporting

Reston, VA · On-site +1

$123K - $203K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $203,700 ... Advanced experience with Databricks augmented with experience in Azure Data Lake, Azure Data ...

New

Bechtel

PIM-Sr Analyst-Databricks & Reporting

Reston, VA · On-site

$123K - $203K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $203,700 ... Advanced experience with Databricks augmented with experience in Azure Data Lake, Azure Data ...

Booz Allen Hamilton, Inc.

Health Data Scientist

Atlanta, GA · On-site

$86K - $198K/yr

You Have: * 3+ years of experience with PySpark, SQL, and Azure Databricks * Experience supporting ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI ...

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI ...

Booz Allen Hamilton, Inc.

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Experience in Databricks platform administration, including workspace configuration, Unity Catalog ... AWS or Azure Cloud Certifications Clearance: Applicants selected will be subject to a security ...

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Part Time Azure Databricks information

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How much do part time azure databricks jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for part time azure databricks in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is a part time Azure Databricks?

A Part Time Azure Databricks job involves working with Azure Databricks, a cloud-based analytics platform, on a part-time basis. Professionals in this role typically develop, manage, and optimize big data and AI solutions using Databricks notebooks, Spark, and other Azure services. Part-time positions may include responsibilities such as data engineering, data analysis, or machine learning model development, but with flexible or reduced working hours. This role is ideal for those seeking work-life balance or supplemental employment while leveraging their expertise in cloud data platforms.

What are the key skills and qualifications needed to thrive as a part time Azure Databricks professional?

To thrive as a Part Time Azure Databricks professional, you need a solid background in data engineering, SQL, Python or Scala programming, and experience with cloud data platforms, ideally supported by a relevant degree or certification. Familiarity with Azure Databricks, Spark, Azure Data Lake, and tools like Azure Data Factory is typically required, along with certifications such as Azure Data Engineer Associate. Strong analytical thinking, problem-solving, and effective communication are valuable soft skills for collaborating with teams and translating data insights into business value. These skills are crucial for efficiently designing, developing, and optimizing data solutions that drive organizational decision-making and performance.

What are some common challenges faced by part time Azure Databricks professionals, and how can they be managed effectively?

Part-time Azure Databricks professionals often encounter challenges such as staying up-to-date with the rapidly evolving Databricks platform and efficiently collaborating with full-time team members on shared projects. Balancing workload within reduced hours can also be demanding, particularly when troubleshooting complex data pipelines or meeting project deadlines. To manage these challenges, it's helpful to maintain clear communication with the team, leverage collaboration tools like Microsoft Teams, and allocate focused blocks of time for learning and project work. Proactively setting expectations about availability and deliverables also ensures smoother workflow integration.

What is the difference between Part Time Azure Databricks vs Part Time Data Engineer?

AspectPart Time Azure DatabricksPart Time Data Engineer
Required SkillsAzure Databricks, Spark, SQL, PythonSQL, Python, ETL, cloud platforms
Work EnvironmentCloud-based, collaborative data platformData pipelines, database management, cloud or on-premises
CertificationsAzure Data Engineer, Databricks certificationsAzure Data Engineer, AWS Data Analytics certifications
Industry UsageData analytics, machine learning projectsData pipeline development, data warehousing

Part Time Azure Databricks focuses on using the Azure platform and Spark for data analysis and machine learning, while Part Time Data Engineer involves building and maintaining data pipelines across various platforms. Both roles require similar cloud and SQL skills but differ in their primary focus and tools used.

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Part Time Azure Databricks jobs near you
Infographic showing various Part Time Azure Databricks job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Databricks Engineer

Bethesda, MD • On-site

Booz Allen Hamilton, Inc.
IT Services • 10K+ employees
Learn more about Booz Allen Hamilton, Inc.external

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

Job description


Remote Work:
Hybrid
Job Number:
R0249074
Location:
Bethesda,MD,US
Share job via:
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Additional Locations:
  • Washington, District of Columbia, USA

Databricks Engineer
The Opportunity:
We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role requires strong practical experience with core Databricks platform capabilities, modern data architecture patterns, and disciplined software engineering practices within regulated SDLC environments. In this role, you will apply AI-enabled analytics and machine learning techniques to solve real-world operational and decision-support problems.
Join us. The world can't wait.
You Have:
  • 3+ years of experience in data engineering or analytics engineering roles
  • 2+ years of experience with the Databricks platform
  • Experience in PySpark and Spark SQL
  • Experience with Databricks clusters, jobs or workflows, Delta Lake, and Unity Catalog in production environments
  • Experience integrating Databricks with CI/CD pipelines and enterprise SDLC tooling
  • Knowledge of Python for data engineering and ML workflows
  • Knowledge of cloud platforms such as AWS, Azure, or GCP and their data services
  • Ability to operate effectively in structured, compliance-driven government environments
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree

Nice If You Have:
  • Experience supporting federal government or regulated industry programs
  • Experience implementing ML or AI solutions in Databricks, including MLflow-based lifecycle management
  • Knowledge of streaming frameworks, data quality frameworks, or observability tooling
  • Databricks or Cloud Platform 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.
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About Booz Allen Hamilton

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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

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