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Part Time Databricks Jobs (NOW HIRING)

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/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 ... Databricks, and SQL Server environments. The position emphasizes production-grade data engineering ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Experience working with Azure Databricks and Spark-based pipelines. * Expertise in defining and ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake. * Knowledge ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

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.
Database Warehouse Architect

Database Warehouse Architect

ISHIR

Dallas, TX

Part-time

Posted 21 days ago


Job description

Job Title - Database Warehouse Architect (Fractional)

Work Mode- Dallas/Fort Worth/Austin (Texas)

Job Description:

We are seeking a senior, solution-oriented Data Warehousing & Lakehouse Architect to engage on an on-demand consulting basis. This role is designed for an expert who stays current with modern data warehousing trends and has deep hands-on expertise in Databricks-led lakehouse architectures. The consultant will advise on architecture, design scalable data platforms, lead solution discovery, and guide engineering teams. This is not a full-time or staff-augmentation role; it is a high-impact advisory and solution-architecture engagement focused on clarity, correctness, and execution readiness.
Required Experience :

  • Senior-level experience in Data Warehousing and Lakehouse Architecture.Deep, hands-on expertise with Databricks (Apache Spark, Delta Lake, Lakehouse patterns).
  • Strong experience designing cloud-native data platforms on AWS, Azure, or GCP.
  • Solid understanding of modern data warehousing trends, including:
    o Lakehouse architectures
    o Open table formats (Delta Lake, Iceberg, Hudi)
    o Decoupled storage & compute
    o Cost and performance optimization strategies
  • Strong knowledge of ETL/ELT pipelines, SQL, and analytical data modeling.
  • Experience with data governance, security, metadata, and access controls.
  • Ability to work independently and provide high-quality architectural guidance on demand.
  • Strong communication skills with a solution-first, advisory mindset.

Responsibilties:

  • Provide on-demand architectural leadership for data warehousing and lakehouse initiatives.
  • Design and review modern lakehouse architectures with Databricks at the core.
  • Translate business, analytics, and AI requirements into scalable, cost-efficient data
    solutions.
  • Lead architecture discovery sessions and solution design workshops.
  • Define best practices for data ingestion, transformation, and modeling (ETL/ELT).
  • Guide implementation of Databricks (Spark, Delta Lake, Unity Catalog) and Snowflake where applicable.
  • Ensure data quality, governance, security, and performance optimization.
  • Perform architecture reviews, feasibility assessments, and modernization recommendations.
  • Advise teams on data platform choices, trade-offs, and long-term scalability.
  • Collaborate with data engineers, analytics teams, and stakeholders in a consultative
    advisory capacity.
  • Stay ahead of emerging data warehousing and lakehouse trends, recommending
    practical adoption paths

Preferred Certifications:

  • Databricks Certified Professional (highly preferred)
  • Cloud Certification (AWS, Azure, or GCP)
  • Snowflake Certification - nice to have

    Nice to have:

  • Experience with streaming / real-time data architectures.
  • Exposure to BI and analytics platforms (Power BI, Tableau, Looker).
  • Experience supporting AI / ML and GenAI workloads on Databricks.
  • Prior consulting or fractional architect experience.
    What This Role Is (and Is Not)
    This role is:
  • On-demand, flexible, and outcome-driven Architecture and solution focused
  • Ideal for senior consultants or fractional architects
    This role is not:
  • A full-time employment role
  • A pure data engineering or operations role
  • A staff-augmentation position
    ABOUT ISHIR
    ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI.
    We are not just consultants, we are partners in our clients success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes.
    At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies.
    As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR.
    ISHIR attracts a special type of individual someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.
Employment Type: PART_TIME