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Part Time Databricks Jobs (NOW HIRING)

Manager, HR Data Engineer

New York, NY · Hybrid

$110K - $123K/yr

People Department WORK LOCATION: 2 Broadway FULL/PART-TIME FULL SALARY RANGE: $110,000 - $123,000 ... Proficient knowledge of Azure Data Factory, Databricks, & Azure Delta Lake. * Experience ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with Pyspark and Spark ecosystems such as Databricks and EMR * Experience evaluating ... 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 Databricks information

See salary details

$30K

$45.9K

$77.5K

How much do part time databricks jobs pay per year?

As of Jul 2, 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:
Infographic showing various Part Time Databricks job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 1% Temporary, 9% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $45,930 per year, or $22.1 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

Los Angeles, CA

$90K - $130K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 3 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.