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Part Time Data Engineering Jobs in Ashburn, VA (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Mclean, VA · On-site +1

$77K - $176K/yr

Collaborate with data scientists and engineers to turn disparate sources into actionable insights ... 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, Senior

Mclean, VA · On-site +1

$77K - $176K/yr

Experience with Agile engineering practices Clearance: Applicants selected will be subject to a ... 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

$62K - $141K/yr

Collaborating with multidisciplinary teams, you will set engineering standards, ensure data quality ... 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

Ashburn, VA · On-site +1

$77K - $176K/yr

Knowledge of software engineering practices, including Git-based workflows, modular Python ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Architect, Lead

Chantilly, VA · On-site +1

$99K - $225K/yr

You Have: * 10+ years of experience in data analytics, data architecture, or data engineering * 5+ ... 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

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 ...

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Showing results 21-40

All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Ashburn, VA

Part Time Data Engineering information

See Ashburn, VA salary details

$45.5K

$132.6K

$181.5K

How much do part time data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time data engineering in Ashburn, VA is $132,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,600.00 per year, depending on experience, location, and employer.

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 Ashburn, VA?

The most popular types of Data Engineering jobs in Ashburn, VA are:

What are popular job titles related to Part Time Data Engineering jobs in Ashburn, VA?

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

What job categories do people searching Part Time Data Engineering jobs in Ashburn, VA look for?

The top searched job categories for Part Time Data Engineering jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Part Time Data Engineering jobs?

Cities near Ashburn, VA 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 Ashburn, VA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $132,649 per year, or $63.8 per hour.

Year-Round Graduate Data Engineer Intern, DATA - R&S

Federal Reserve System

Washington, DC

Full-time, Part-time, Internship

Posted 26 days ago

Job description

Minimum Education
Enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship.
Minimum Experience
0
Summary
The Federal Reserve Board (Board) provides students opportunities for career success. The Board's Internship program is designed to provide valuable work experience for graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board's internship program is granted to U.S. citizens. Applicants must be currently enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.

The Data Architecture, Technology, and Analytics (DATA) section is seeking a graduate intern to support the advancement of key initiatives focused on modernizing the Research & Statistics Division's data environment. This role will provide hands-on experience with data engineering, data transformation, data pipelines, and storage while contributing to ongoing projects that enhance the division's ability to manage and leverage data effectively. The intern will contribute to a range of assignments, including structured data engineering projects and ad-hoc tasks, gaining practical insight into how modern data solutions are developed and implemented in a collaborative environment.

Specific projects/assignments may include:

         Developing data pipelines and machine learning-based analytical tools within an AWS environment.

         Designing and implementing data quality and automation solutions, including data validation processes, workflow automation, metadata management, and reusable scripts to improve the efficiency and reliability of data operations.

         Developing data visualization and analytical products using tools such as Python, SQL, and AWS services to support operational reporting, performance monitoring, and data-driven decision making. This may include creating dashboards, interactive reports, and analytical prototypes for staff.

Education Requirements

         Graduating August 2027 or later

         Currently pursuing a graduate degree in Computer Science, Information Management Systems, Data Analytics, or other related field of study.

Skills/Knowledge Required

         Graduate school level or equivalent Data Analytics background with AWS cloud experience.

         Strong quantitative skills, including programming experience in python, R and other scripting languages for processing numerical and unstructured data.

         Experience in creating complex regular expressions.

         Knowledge of AWS cloud

         Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools (e.g., Excel, Power Bl, python/R graphics lib).

         Excellent oral and written communication skills.

         Excellent organization skills.

Data Science, Data Engineering, Data Pipeline Development, Python and Database experience is preferred but not required.

This internship will be part-time during fall/spring semesters (no more than 20 hours per week) and full-time in the summer. The selected candidate will be required to be onsite at our offices in Washington, DC during the summer.

Required Documents: Resume; an unofficial transcript may be requested.

US Citizenship is required for all Board internships and applicants must be current students, graduating from their program August 2027 or later.

Apply