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Part Time Azure Databricks Jobs (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

... SageMaker, Databricks, SQL Data Warehouse, or machine learning service * Experience with ... Cloud Development Certification such as AWS Solutions Architect or Azure Certification

Data Engineer, Mid

Alexandria, VA · On-site

$62K - $141K/yr

Experience with distributed data and computing tools such as Spark or Databricks * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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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 Jul 11, 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 3% Locum Tenens, 90% Full Time, 1% Part Time, 5% Contract, and 1% Summer. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Alvarez and Marsal

Chicago, IL

$90K - $130K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Description

Digital Finance Transformation - Data Scientist:  Associate –  Private Equity Performance Improvement

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

A&M’s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients’ operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.

Our PEPI CFO Services practice includes the following pillar of services:

  • Strategic Finance and Liquidity Management
  • Accounting Advisory and Financial Reporting Solutions
  • Working Capital Optimization
  • Digital Finance Transformation
  • Interim Management

How you will contribute

We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function—modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.

The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.

Qualifications

  • 3-6 plus years of professional experience; consulting or professional services experience preferred.
  • Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
  • Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
  • Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.
  • Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.
  • Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.
  • Ability to travel as required

#LI-LS1

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

The salary range is $90,000--$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.  Please ask your recruiter for details.

Alvarez & Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.

Full-time Positions and Part-time Positions Over 30 hours

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M’s benefits programs.

Inclusive Diversity

A&M’s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M’s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way.

Equal Opportunity Employer

It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&M policy statements and additional information by region here.

Unsolicited Resumes from Third-Party Recruiters

Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.