2

Part Time Data Engineering Jobs in Washington (NOW HIRING)

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 ...

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 ...

Data Architect

Columbia, MD · On-site +1

$86K - $198K/yr

Confer with systems analysts, engineers, and programmers to design applications. * Advise higher ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ...

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 ...

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 ...

Showing results 41-60

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 Washington?

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

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

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

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

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

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

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

Infographic showing various Part Time Data Engineering job openings in Washington as of August 2026, with employment types broken down into 100% Part Time. Highlights an 76% In-person, and 24% Remote job distribution.

Data Scientist

Booz Allen Hamilton, Inc.

Ashburn, VA • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0245759
Location:
Ashburn,VA,US
Share job via:
Share
Data Scientist
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.
On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining for structured and unstructured data
  • 3+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Experience leading the development of solutions to complex programs
  • Experience in Apache Spark, BI, cloud analytics, ETL, exploratory data analysis, statistical models, SQL, unstructured data, and visualization
  • Experience with natural language processing, text mining, or machine learning techniques
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree

Nice If You Have:
  • Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
  • Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2
  • Experience with databricks
  • Experience with PySpark, Spark SQL, and Delta Lake for building scalable data pipelines in Databricks
  • Experience with MLflow, feature engineering, and deploying machine learning models in Databricks
  • Experience using data robot
  • Knowledge of AWS services such as S3, IAM, Glue Catalog, and CloudWatch to support data engineering and ML workflows
  • Knowledge of software engineering practices, including Git-based workflows, modular Python development, testing, and CI/CD

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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 $77,600.00 to $176,000.00 (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.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

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