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Part Time Azure Databricks Jobs (NOW HIRING)

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 ...

... as Azure, Databricks, or Domino * Ability to implement AI agent architectures, retrieval ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Strong SQL, ETL, Python , PySpark , and AWS/Azure experience. * Excellent data modeling ... Exposure to Databricks, Snowflake, or Microsoft Fabric . * Knowledge of API-based integrations and ...

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Experience with Databricks * Experience writing software in programming languages, including Python ... Cloud Development Certification, including AWS Solutions Architect or Azure Certification

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs, and ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

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 ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

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Part Time Azure Databricks information

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$11

$58

$79

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

As of Aug 1, 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 are the key skills and qualifications needed to thrive as a Part Time Azure Databricks professional, and why are they important?

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 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.

Is Databricks a high paying job?

A part-time role involving Azure Databricks typically offers lower salaries compared to full-time positions, but compensation can vary based on experience, location, and specific responsibilities. Generally, roles requiring expertise in cloud platforms and data engineering tend to be well-paid within the tech industry.

Do Databricks have remote positions?

Part-time roles involving Azure Databricks often offer remote work options, depending on the company's policies and the specific position. Many organizations in data engineering and analytics provide remote opportunities for such roles, especially for candidates with skills in cloud platforms, Spark, and data processing tools.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced professionals with advanced skills can earn higher salaries, especially in competitive markets or with specialized expertise in Spark and cloud environments.

Is Azure Databricks in demand?

Azure Databricks is a popular cloud-based data analytics platform used by organizations for big data processing and machine learning. Professionals with skills in Azure, Spark, and data engineering are increasingly sought after, making roles involving Azure Databricks in high demand across various industries.

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 a Part Time Azure Databricks job?

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.
More about Part Time Azure Databricks jobs
What cities are hiring for Part Time Azure Databricks jobs? Cities with the most Part Time Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
Infographic showing various Part Time Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 1% Part Time, 6% Contract, and 1% Summer. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago


Booz Allen Hamilton rating

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Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

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Job description


Remote Work:
Hybrid
Job Number:
R0236828
Location:
Bethesda,MD,US
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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