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Part Time Databricks Developer Jobs (NOW HIRING)

Bechtel

PIM - Sr Databricks & Reporting Analyst

Reston, VA · On-site +1

$123K - $178K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $178,500 ... Bechtel will be the Engineering, Procurement, and Construction (EPC) contractor for the project and ...

Bechtel

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... Databricks, Microsoft Fabric, Azure data engineering, and modern analytics platform delivery

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 ...

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

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

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

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

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

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.

Health Data Scientist

Atlanta, GA · On-site

$86K - $198K/yr

Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, clinical ... You Have: * 3+ years of experience with PySpark, SQL, and Azure Databricks * Experience supporting ...

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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 Aug 22, 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 August 2026, with employment types broken down into 100% Part Time. Highlights an 50% In-person, 17% Hybrid, and 33% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

Junior Developer

Sterling Computers Corporation

North Sioux City, SD • On-site

$63K - $82K/yr

Part-time

Posted yesterday

New

Job description

Title: Junior Developer

Reports to: Vice President of Operations

Location: North Sioux City, SD/Hybrid or Remote as Approved

Employment Type: Part-Time

Job Description: Sterling Computers is a technology company that provides IT solutions to federal government, state and local government, education, and commercial customers. Sterling’s Strategic Technologies Group focuses on learning, implementing, and supporting emerging technologies that improve how the company sells, delivers, manages, and automates solutions. We are looking for a part-time developer with hands-on experience in MuleSoft, Databricks, Data360, APIs, and Python. This role will support integration, automation, and data enablement initiatives across Sterling’s internal systems, including Salesforce, Data Cloud/Data360, Databricks, and related business applications. The ideal candidate is comfortable building practical, well-documented solutions that move data reliably, expose secure APIs, automate workflows, and help the business turn data into useful operational insights.

Required Education/Experience

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field preferred; candidates currently pursuing a relevant degree or with equivalent practical experience will also be considered.
  • Experience supporting business users, gathering requirements, and translating needs into technical solutions.
  • MuleSoft, Salesforce, Databricks certifications are a plus.

Required Technical Skills:

  • Experience developing integrations using MuleSoft Anypoint Platform, DataWeave, APIs, and related integration patterns.
  • Working knowledge of Databricks, including notebooks, SQL, data pipelines, and data engineering workflows.
  • Experience with Salesforce Data Cloud/Data360 concepts, including data streams, harmonized data models, calculated insights, and governed data access.
  • Strong Python development skills for automation, data processing, API integration, and scripting.
  • Experience designing, consuming, testing, and troubleshooting RESTful APIs.
  • Understanding of authentication, secure data handling, logging, error handling, and API performance considerations.
  • Ability to work with structured and unstructured data from systems such as Salesforce, databases, documents, and external data sources.
  • Familiarity with SQL, JSON, XML, and common data transformation practices.
  • Self-motivated, detail-oriented, and able to work independently in a part-time capacity while communicating progress clearly.

Qualifications:

  • Hands-on experience building and maintaining integrations between enterprise systems, especially Salesforce, MuleSoft, Databricks, and data platforms.
  • Strong understanding of API-led connectivity, reusable integration patterns, and secure API design.
  • Ability to write clean, maintainable Python code for automation, data transformation, and system integration tasks.
  • Comfort working with Databricks for data engineering, analytics support, and pipeline development.
  • Familiarity with Data360/Data Cloud concepts such as data ingestion, harmonization, calculated insights, and governed reporting layers.
  • Ability to troubleshoot data movement, API failures, mapping issues, authentication errors, and integration performance concerns.
  • Strong documentation habits, including technical designs, data mappings, API specifications, and operational support notes.
  • Effective communication skills and ability to collaborate with technical and non-technical stakeholders.
  • Positive, professional attitude with a willingness to learn new tools and adapt as Sterling’s technology stack evolves.

Responsibilities:

  • Design, build, test, and maintain MuleSoft integrations, APIs, and data flows that connect Sterling’s business systems.
  • Develop Python scripts and services to automate data processing, system integration, reporting support, and operational workflows.
  • Support Databricks-based data engineering activities, including notebooks, SQL queries, pipeline logic, data validation, and documentation.
  • Assist with Data360/Data Cloud work, including data ingestion, calculated insights, schema mapping, and validation of business-ready metrics.
  • Build and maintain RESTful APIs and integration endpoints that are secure, reliable, reusable, and well documented.
  • Troubleshoot integration issues, data quality concerns, failed jobs, API errors, and system handoff problems.
  • Collaborate with internal stakeholders to understand process gaps and translate business requirements into practical technical solutions.
  • Document integration designs, API specifications, data mappings, support procedures, and technical decisions.
  • Participate in code reviews, testing, deployment support, and continuous improvement of Sterling’s integration and data environment.
  • Support automation initiatives that improve productivity, reduce manual work, and provide better visibility into sales, operations, and customer data.

Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.