ZipRecruiter

Log In

2

Part Time Databricks Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with Python, Databricks, SQL, Scala, or Java * Ability to develop scripts and programs ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$61K - $141K/yr

Databricks or Power BI Certification Clearance: Applicants selected will be subject to a security ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Fort Belvoir, 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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

Data Analyst

Norfolk, VA · On-site

$61K - $141K/yr

... Databricks, and AWS, enabling our clients to tackle missions from fraud detection to cancer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Norfolk, VA · On-site

$77K - $176K/yr

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

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Databricks or Power BI Certification Clearance: Applicants selected will be subject to a security ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Uottawa

APTPUO-Fall 2026-DTI6302 F

Campus, IL · On-site

$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Amazon SageMaker and Databricks Unified Analytics Platform. The applicant must be highly ...

next page

Showing results 1-20

All JobsDatabricks JobsPart Time Databricks Jobs

Part Time Databricks information

See salary details

$30K

$45.9K

$77.5K

How much do part time databricks jobs pay per year?

As of Jun 9, 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:
What states have the most Part Time Databricks jobs? States with the most job openings for Part Time Databricks jobs include:
What job categories do people searching Part Time Databricks jobs look for? The top searched job categories for Part Time Databricks jobs are:
Part Time Databricks jobs near you
Infographic showing various Part Time Databricks job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $45,930 per year, or $22.1 per hour.
Data Scientist, Commercial Analytics

Data Scientist, Commercial Analytics

ExxonMobil

Spring, TX

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

ExxonMobil rating

6.1

Company rating: 6.1 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

57th of 74 rated oil and gas companies

Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

What you will do

Lead the design, development, and deployment of advanced AI/ML solutions for commercial analytics including pricing, marketing, supply chain and trading.  You will work end-to-end from problem framing and experimentation through production and sustainment while partnering with business stakeholders to deliver scalable, reliable, and impactful solutions.

What role you will play in the team
  • Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
  • Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
  • Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
  • Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models.
  • Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
  • Mentor peers and contribute to internal AI capability building.
About you

Desired Skills

  • 5+ years of direct experience delivering production AI/ML solutions.
  • Expertise in commercial analytics for pricing, marketing, supply chain management or oil & gas trading.
  • Strong foundations in statistics, probability, and algorithm design.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark.
  • Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
  • Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
  • Excellent communication and collaboration skills.

Preferred Knowledge/Skills

  • Cloud platforms (Azure ML, Azure OpenAI, Databricks).
  • Knowledge graphs, hybrid search/RAG, and semantic technologies.
  • Agile development and software engineering best practices.

Educational Background Recommended

  • Master’s or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field.
Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
 

We offer you: 
 

  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life. 
  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match. 
  • Workplace Flexibility: We have several programs such as “Flex your Day”, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
  • Comprehensive medical, dental, and vision plans. 
  • Culture of Health: Programs and resources to support your wellbeing. 
  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you. 
  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
     

More information on our Company’s benefits can be found at  www.exxonmobilfamily.com.
 

Please note benefits may be changed from time to time without notice, subject to applicable law.

Stay connected with us

Learn more at our website
Follow us on LinkedIN and Instagram
Like us on Facebook 
Subscribe our channel at YouTube 

Alternate Location:  

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

What ExxonMobil employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply