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Part Time Databricks Jobs (NOW HIRING)

Inform the candidate that they must not have any other part-time or full-time employment while ... Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to lead the ...

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $178,500 ... We are seeking a Sr. Analyst, Databricks and Reporting to join a dynamic and progressive Project ...

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $178,500 ... We are seeking a Sr. Analyst, Databricks and Reporting to join a dynamic and progressive Project ...

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... Builds, implements and optimises ETL and ELT pipelines using Databricks, Fabric Data Factory ...

Data Scientist, Mid

Mclean, VA · On-site +1

$77K - $176K/yr

You will leverage Databricks and other advanced analytics tools to refine pipelines, automate ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... Implements and optimises ETL and ELT pipelines using Databricks, Fabric Data Factory, Dataflows ...

Implement MLOps pipelines on AWS GovCloud using SageMaker, Step Functions, and Databricks ML ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Experience in Databricks platform administration, including workspace configuration, Unity Catalog ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Exposure to Databricks, Snowflake, or Microsoft Fabric . * Knowledge of API-based integrations and ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

Health Data Scientist

Atlanta, GA · On-site

$86K - $198K/yr

You Have: * 3+ years of experience with PySpark, SQL, and Azure Databricks * Experience supporting ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Knowledge of cloud data platforms such as Snowflake, Databricks, Azure, or AWS. * Experience with ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Working within the Unified Data Platform (Databricks), the role ingests, cleanses, structures, and ...

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

Arlington, VA · On-site +1

$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 ...

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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 Sep 1, 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 is a part time Databricks job?

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 do part time Databricks professionals do?

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

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 August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $45,930 per year, or $22.1 per hour.

Databricks Engineer

Phoenix, AZ • On-site

Conflux Systems
IT Services • 11 - 50 employees

Full-time, Part-time

Posted 6 days ago


Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

Client Name - AMEX
Glow - 3ET0JY
Posman - 134667
Role / Skills - Databricks Engineer
Rate - USD $52
Location - Pheonix - Day 1 Onsite - min 3 days a week.
JD - Confirm / share us the complete JD and lets us know if anything specific:
Databricks Engineer
Role Overview
We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.
Key Responsibilities
  • Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
  • Lead implementation of:
  • Cloud-based data lakehouse platforms integrating diverse data sources.
  • Real-time data processing pipelines for operational and analytical use cases.
  • Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
  • Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
  • Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
  • Establish data quality frameworks and governance standards.
  • Implement and manage Unity Catalog, including fine-grained security and access controls.
  • Leverage Databricks components such as:
  • Delta Live Tables
  • Autoloader
  • Structured Streaming
  • Databricks Workflows
  • Integration with orchestration tools (e.g., Apache Airflow)
  • Drive CI/CD automation, deployment strategies, and DevOps best practices.
  • Optimize performance of pipelines, Spark jobs, and compute resources.
  • Provide architectural guidance and technical leadership across cross-functional teams.
  • Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in:
  • Databricks and cloud-native storage/compute platforms
  • Apache Spark (batch & streaming)
  • Delta Lake & Lakehouse architecture
  • Distributed data processing systems
  • Strong hands-on programming skills in Python, PySpark, Scala, and SQL.