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Part Time Azure Databricks Jobs (NOW HIRING)

Data Engineer

Chantilly, VA · On-site +1

$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

Mclean, 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

Chantilly, VA · On-site +1

$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 ...

Showing results 21-40

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 Sep 13, 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 is a part time Azure Databricks?

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 are the key skills and qualifications needed to thrive as a part time Azure Databricks professional?

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 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.

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Infographic showing various Part Time Azure Databricks job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Data Analytics & Governance Internship

Des Moines, IA • On-site

Full-time, Part-time, Internship

Posted 2 days ago

New


Job description

Company Description
Why choose an internship with Wellmark? We strive to offer meaningful work that assists in your professional development and provides value to the team. You will gain valuable experience within the health insurance industry and put the skills and knowledge you've acquired in school to practice this summer during our 2027 Summer Internship Program. You will have the opportunity to learn from subject matter experts and leaders within the industry, network with fellow internship program participants, and gain practical, hands-on work experience.
If you're eager to learn, collaborate with others, demonstrate your potential, develop customer-focused solutions, and grow into an exciting career, we hope you'll consider an internship with us!
Job Description
What's Data Analytics & Governance at Wellmark? This opportunity is in Data Governance which resides within the broader Business Analytics team and works heavily to improve the quality of the data in the data warehouse by influencing data decisions within both Projects and Application Change Requests, as well as to help identify and resolve data issues in production. We believe strongly in continuously improving both our processes and our people, and in creating a work environment that is both effective and enjoyable to work within.
What projects might I support? Although subject to change, examples of projects are included below:
  • Support the implementation and enhancement of governance tools like Metadata, Master Data and Reference data (Informatica)
  • Support the implementation and build out of our enterprise Data Quality Management tool (AWS Glue) by setting up rules and building out alerts, scorecards and dashboards
  • Support Data Governance reporting through the build out of Power BI dashboards
  • Support the utilization and build out of department level AI use cases (Generative or Agentic)
  • Ancillary benefits of these projects include:
    • Ability to understand Wellmark's approach to data management and governing data quality (SDLC - software development lifecycle)
    • Exposure to working in an Agile work environment (Microsoft DevOps tools)
    • Work with modern data management and data governance tools (Informatica, AWS, Microsoft Azure / Fabric)
    • Gain exposure to business analytics and business intelligence practices
    • Work closely to manage, maintain and enhance data sources behind the scenes from consumption

I'm interested! What's next? Review the qualifications below. If the position is a match with your background and interests, please submit an application for review.
This internship can start as a part-time position in the spring then transition into our 2027 Summer Internship Program in May or can start full-time in the Summer Internship program and continue as a part-time student in the fall working a hybrid schedule from our corporate office in Des Moines, Iowa.
Qualifications
  • Current student studying MIS, Data Science, Business Analytics, Computer Science, or related data management or data analytic based programs
  • Familiarity with database systems, ETL tools, Microsoft Excel, and other data manipulation technologies, data visualization platforms and general data warehousing such as Microsoft Power BI, AWS, Microsoft Azure/Fabric and Databricks, or similar peer systems
  • Strong problem solving skills, with the ability to develop proactive solutions
  • Excellent communication skills, both written and verbal, with the ability to make recommendations by translating data analysis insights into decisions and actions
  • Strong technical aptitude, with the ability to learn new systems quickly
  • Demonstrated analytical skills, with the ability to concisely communicate recommendations to all levels of the organization
  • Proven ability to work in a deadline driven, fast paced environment
  • Available to work 40 hours/week during the formal summer internship program
  • Available to work a hybrid schedule 10-20 hours/week during the academic year; in-office days: Tuesday, Wednesday, Thursday

Preferred:
  • Prior internship experience and 2+ years of college preferred, but will consider all candidate applications

Additional Information
All your information will be kept confidential according to EEO guidelines.
An Equal Opportunity Employer
The policy of Wellmark Blue Cross Blue Shield is to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.
Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact us at careers@wellmark.com
Please inform us if you meet the definition of a "Covered DoD official".
At this time, Wellmark is not considering applicants for this position that require any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please refer to the following resources:Nonimmigrant Workers and Green Card for Employment-Based Immigrants
Wellmark supports and expects the responsible use of AI for our workforce! We welcome the responsible use of these tools by job seekers as well and are interested in learning from you; you will have an opportunity in the application process to share which tools you used and how you applied them.