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

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ...

Booz Allen Hamilton, Inc.

ETL Software Engineer

Mclean, VA · On-site

$62K - $141K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

Position Description * Expert proficiency in common data science tools, including scripted ... Specialized experience working with programming languages (e.g., Python), business intelligence ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/yr

Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting. Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies ...

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All JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Reston, VA

Part Time Data Engineering information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Jun 19, 2026, the average yearly pay for part time data engineering in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

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.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

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 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.

What engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
What are the most commonly searched types of Data Engineering jobs in Reston, VA? The most popular types of Data Engineering jobs in Reston, VA are:
What cities near Reston, VA are hiring for Part Time Data Engineering jobs? Cities near Reston, 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 Reston, VA as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Data Scientist, Senior-Springfield,Virginia

Data Scientist, Senior-Springfield,Virginia

BOOZ, ALLEN & HAMILTON, INC.

Montclair, VA

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 20 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Data Scientist, Senior
The Opportunity:
As a senior analytics professional, you will lead analytic development, guide multi-disciplinary teams, and shape the data strategy behind mission modernization. Working and leading other data scientist, you will architect end-to-end analytic workflows, including data engineering, modeling, validation, and cloud deployment, and translate mission needs into executable technical solutions.
You'll design models that quantify system behavior, integrate multi-INT and geospatial datasets, and implement AI / ML solutions optimized for real-time operational use. You will ingest APIs, building statistical baselines and identifying deviations. You will oversee and provide techniques in the use of tools such as SQL, Python, Excel, FADE / MIST, and Jema. You will partner with agencies and teams to ensure analytic outputs match mission timelines and technical rigor, consistent with the advanced expectations for senior data scientists. You will also contribute to technical approaches and modernization roadmaps that tie directly into mission requirements.
Join us. The world can't wait.
You Have:
  • Experience in data science, machine learning, or large-scale distributed analytics
  • Experience with geospatial analytics, multi-INT fusion, or space-system data integration
  • Experience developing, validating, and operationalizing AI / ML models such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with distributed compute frameworks such as Databricks and Spark, for high-volume mission data
  • Experience integrating models into production or mission-critical workflows, including real-time analytics
  • Experience with cloud-native AI / ML platforms such as AWS SageMaker and Azure ML
  • Ability to lead analytic teams and mentor junior analysts or data scientists
  • Ability to define analytic CONOPs, translate mission objectives into model requirements, drive technical execution, and contribute to or lead WBS, RACI, BOE inputs, and enterprise-level technical approaches
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • HS diploma or GED

Nice If You Have:
  • Experience leading IC or DoD analytics for CCMDs or related mission partners
  • Experience designing or governing enterprise-level data architectures, catalogs, or met adata frameworks
  • Experience with operator-facing systems such as JEMA, FADE / MIST, or mission-system modeling tools
  • Experience developing modeling strategies for MTI, ISR, EW, or space-domain mission data
  • TS/SCI clearance with a polygraph
  • Google Professional Machine Learning Engineer Certification
  • Azure Data Scientist Asso cia te Certification
  • AWS Certified Machine Learning - Spe cia lty Certification
  • TensorFlow Developer Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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