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Part Time Azure Databricks Jobs (NOW HIRING)

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99.10K - $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 ...

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 ... Azure data services, Databricks, and SQL Server environments. The position emphasizes production ...

ML Administrator

Doral, FL

$77.50K - $176K/yr

... Azure, and GCP * Ability to support Databricks platform administration and enterprise data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

ML Administrator

Doral, FL · On-site

$77.50K - $176K/yr

... Azure, and GCP * Ability to support Databricks platform administration and enterprise data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98.30K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... Azure services such as Databricks, Data Factory, and Data Lake. * In-depth knowledge of scripted ...

Data Lake Engineer

Doral, FL · On-site

$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 ...

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Understanding of Azure Big Data landscape and tools such as Event Hubs, Azure Data Factory (ADF ...

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Understanding of Azure Big Data landscape and tools such as Event Hubs, Azure Data Factory (ADF ...

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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 May 31, 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 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.

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.

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 May 2026, with employment types broken down into 17% As Needed, 49% Full Time, 17% Temporary, and 17% Nights. Highlights an 100% Physical job distribution, with an average salary of $121,476 per year, or $58.4 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 9 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

8th of 57 rated business consultants


Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0232557
Location:
McLean,VA,US
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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 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 Computer Science, Engineering, Information Systems, or Mathematics

Nice If You Have:
  • Experience with Databricks, including notebooks, Delta Lake, Workflows, or DLT in academic, internship, personal project, or professional environments
  • 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.
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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