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Part Time Databricks Developer Jobs (NOW HIRING)

Conflux Systems

Databricks Engineer

Phoenix, AZ · On-site

Inform the candidate that they must not have any other part-time or full-time employment while ... Drive CI/CD automation, deployment strategies, and DevOps best practices. * Optimize performance of ...

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI ...

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Mclean, VA · On-site +1

$77K - $176K/yr

... Databricks-based data engineering, and scalable analytics platforms. This is a highly visible role ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

John Deere

$15 - $40/hr

... developer. In this role, you will support both backend and frontend development for digital ... Databricks, GitHub, Docker/Kubernetes, and Redis. This position is NOT available to students on ...

Bechtel

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... The role provides hands-on technical support for modern data platform delivery in Engineering ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

Climate First Bank

Data Engineer

$117K - $140K/yr

Use Azure Databricks for big data transformations & analytics. * Optimize SQL queries, stored ... Implement CI/CD pipelines for data solutions using Azure DevOps, Git, ARM Templates, or Terraform.

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Part Time Databricks Developer information

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How much do part time databricks developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for part time databricks developer in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What is a part time Databricks developer?

A Part Time Databricks Developer is a professional who works with Databricks, a cloud-based data analytics platform, on a part-time basis. They are responsible for designing, developing, and managing data pipelines, performing data analysis, and building machine learning models using Apache Spark and other Databricks tools. These developers often collaborate with data engineers, data scientists, and business analysts to ensure efficient data processing and insights delivery. Working part-time allows them to have flexible schedules while contributing to data-driven projects.

What are the typical responsibilities and collaboration expectations for a part time Databricks developer?

As a Part Time Databricks Developer, you are commonly responsible for developing, testing, and maintaining data pipelines and ETL processes using Databricks. You’ll often collaborate with data engineers, data scientists, and business analysts to ensure data solutions meet project requirements and integrate smoothly with existing systems. Communication is key, as you may attend regular team meetings and provide updates on your progress, even in a part-time capacity. Flexibility in managing your tasks and time is important, since you may need to handle multiple projects or adapt to changing priorities.

What are the key skills and qualifications needed to thrive as a part time Databricks developer?

A Part Time Databricks Developer needs proficiency in data engineering, SQL, Python or Scala programming, and experience with cloud platforms such as Azure or AWS, often supported by a relevant degree or certification. Familiarity with Databricks, Apache Spark, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills in this role. These skills ensure efficient development and management of big data solutions, enabling organizations to gain actionable insights from complex datasets.

What is the difference between Part Time Databricks Developer vs Data Engineer?

AspectPart Time Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data workflows on Databricks platformBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, SQL, PythonETL tools, cloud platforms, SQL, Spark, Python
Work EnvironmentProject-based, remote or on-site, part-timeFull-time, corporate or cloud environment
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, data-driven companies

The Part Time Databricks Developer primarily focuses on developing data solutions using Databricks, often on a flexible schedule, while a Data Engineer handles broader data infrastructure and pipeline management full-time. Both roles require similar technical skills, but differ in scope and work commitment.

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Part Time Databricks Developer jobs near you
Infographic showing various Part Time Databricks Developer job openings in the United States as of September 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

Databricks Engineer

Phoenix, AZ • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

Full-time, Part-time

Posted 16 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.

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