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Part Time Data Engineering Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

You Have: * 6+ years of experience with statistical and general-purpose programming languages for ... 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

Suffolk, VA · On-site +1

$77K - $176K/yr

Experience with software development or engineering, including in an academic or professional ... 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

Alexandria, VA · On-site +1

$99K - $225K/yr

You Have: * 3+ years of experience with using programming languages to manipulate and analyze data ... 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

Chantilly, VA · On-site +1

$99K - $225K/yr

You Have: * 3+ years of experience with using programming languages to manipulate and analyze data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Partner with data engineering teams to ensure high-quality datasets and robust pipeline ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

... mining, data engineering, or data warehousing, or 12+ years of experience with scientific ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$77K - $176K/yr

You Have: * 1+ years of experience in software engineering, data engineering, or applied AI/ML ... 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

Reston, VA · On-site

$77K - $176K/yr

Experience with statistical and general-purpose programming languages for data analysis such as ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Virginia

Part Time Data Engineering information

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What are the key skills and qualifications needed to thrive as a part time data engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in Virginia?

The most popular types of Data Engineering jobs in Virginia are:

What are popular job titles related to Part Time Data Engineering jobs in Virginia?

For Part Time Data Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Virginia look for?

The top searched job categories for Part Time Data Engineering jobs in Virginia are:

What cities in Virginia are hiring for Part Time Data Engineering jobs?

Cities in Virginia with the most Part Time Data Engineering job openings:

Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Virginia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 95% In-person, and 5% Remote job distribution.

Technical Advisor - Cloud, Application, Data & AI

Oran, Inc.

Herndon, VA • On-site, Remote

Part-time

Posted 8 days ago

Job description

Position: Technical Advisor
Employment Type: Part-Time / Hourly
Work Location: Remote
Engagement: Hourly / Consulting
Customer Focus: U.S. Federal Government
Position Overview
We are seeking an experienced Technical Advisor to provide part-time, senior-level technical guidance and solutioning support for our internal teams and Federal Government customer engagements.
The Technical Advisor will serve as a trusted technical resource responsible for developing and reviewing technical solutions, architectures, approaches, and responses across Cloud, Application, Data, Artificial Intelligence, Cybersecurity, and other emerging technology areas.
This is an advisory and solutioning-focused role. The ideal candidate should be able to quickly understand customer requirements, translate business and mission needs into practical technical solutions, and help teams develop compelling and technically sound approaches for Federal customers.
Key Responsibilities
  • Serve as an internal technical advisor and subject matter expert for Federal customer opportunities and projects.
  • Develop high-level and detailed technical solutions and solution architectures based on customer requirements.
  • Provide technical expertise across:
    • Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
    • Application Architecture & Modernization
    • Data Engineering, Data Platforms & Analytics
    • Artificial Intelligence (AI), Generative AI (GenAI) & Machine Learning
    • Application Programming Interfaces (APIs) and Microservices
    • Cybersecurity and Zero Trust
    • DevSecOps, Infrastructure as Code (IaC) and Cloud Automation
    • Containers, Kubernetes and Cloud-Native Architecture
    • Data & AI platforms, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI-enabled solutions
    • Other emerging and high-growth technologies relevant to Federal IT modernization.
  • Analyze Requests for Information (RFIs), Requests for Proposals (RFPs), Statements of Work (SOWs), Performance Work Statements (PWSs), and Statements of Objectives (SOOs) and translate requirements into technical approaches.
  • Develop technical solution concepts, architecture diagrams, technology stacks, implementation approaches, and solution narratives.
  • Support proposal solutioning, technical writing, and technical reviews.
  • Collaborate with business development, capture, proposal, recruiting, and delivery teams to develop technically competitive solutions.
  • Evaluate emerging technologies and recommend where they can provide value to Federal customers.
  • Review proposed technical approaches for feasibility, scalability, security, cost, and alignment with Federal requirements.
  • Provide technical mentorship and guidance to internal teams.
  • Participate in customer discussions, technical briefings, solution presentations, and architecture reviews when required.
  • Help identify technology partners, platforms, tools, and technical capabilities needed to support customer requirements.

Required Qualifications
  • 10+ years of progressive experience in technology, IT architecture, engineering, consulting, or technical solutioning.
  • Demonstrated experience developing technical solutions and architectures for complex enterprise environments.
  • Strong knowledge of at least two major cloud platforms, preferably AWS, Azure, and/or GCP.
  • Broad understanding of modern Application, Data, Cloud, AI, and Cybersecurity technologies.
  • Experience translating complex technical requirements into clear, actionable solution approaches.
  • Strong technical writing and presentation skills.
  • Experience supporting Federal Government customers, contracts, proposals, or solutioning efforts.
  • Ability to work independently in a part-time advisory capacity and provide expertise when needed.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience with Federal IT modernization and cloud transformation.
  • Experience with Enterprise Architecture, Cloud Architecture, Solution Architecture, or Technical Architecture.
  • Knowledge of Federal technology and security frameworks such as:
    • National Institute of Standards and Technology (NIST)
    • Federal Risk and Authorization Management Program (FedRAMP)
    • Federal Information Security Modernization Act (FISMA)
    • Zero Trust Architecture
    • NIST Cybersecurity Framework
  • Experience with Artificial Intelligence, Generative AI, Machine Learning, Large Language Models, Retrieval-Augmented Generation, AI Agents, or AI governance.
  • Experience with cloud-native technologies, Kubernetes, containers, Infrastructure as Code, and DevSecOps.
  • Experience supporting Requests for Proposals (RFPs), Requests for Information (RFIs), Sources Sought, and government technical responses.
  • Relevant certifications such as:
    • AWS Certified Solutions Architect
    • Microsoft Certified: Azure Solutions Architect Expert
    • Google Cloud Professional Cloud Architect
    • Certified Information Systems Security Professional (CISSP)
    • Certified Cloud Security Professional (CCSP)
    • TOGAF certification
    • Other relevant cloud, architecture, cybersecurity, data, or AI certifications.

Ideal Candidate
The ideal candidate is a technology generalist with deep expertise in architecture and solutioning rather than someone limited to a single technology stack.
You should be able to walk into a Federal customer requirement, understand the mission and technical challenges, and answer:
"What should we build, how should we build it, what technologies should we use, and why is this the right solution?"
The candidate should be comfortable moving between Cloud + Application + Data + AI + Security + Emerging Technologies and providing practical, commercially viable recommendations.
Engagement Details
  • Part-Time
  • Remote
  • Hourly Consulting Engagement
  • Flexible hours based on project and proposal requirements
  • Primarily internal advisory and Federal customer support
  • Opportunity to support multiple Federal technology initiatives and proposals

Apply