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Data Science Engineer Jobs in Washington, DC (NOW HIRING)

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$116K - $139K/yr

As a Data Science Engineer, you will develop workflows and platforms to transform complex data sets into meaningful information, collaborating with a multidisciplinary team to tackle global ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven projects in the industry. You'll ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Share Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission ...

Deloitte

Palantir AI and Data Science Engineer

Arlington, VA · On-site

$131K - $158K/yr

Share this job: Share: Share Palantir AI and Data Science Engineer with Facebook Share Palantir AI and Data Science Engineer with LinkedIn Share Palantir AI and Data Science Engineer with Twitter ...

Deloitte

AI and Data Science Engineer III

Mclean, VA · On-site +1

$115K - $139K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

Deloitte

AI and Data Science Engineer III

Mclean, VA

$115K - $139K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

RDR, Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

Deloitte

Palantir AI and Data Science Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible for... * Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Washington, DC

Data Science Engineer information

See Washington, DC salary details

$50.2K

$146.4K

$200.3K

How much do data science engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data science engineer in Washington, DC is $146,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,100.00 per year, depending on experience, location, and employer.

Is AI replacing data scientists?

AI is transforming the role of data science engineers by automating routine tasks and enabling more advanced analysis, but it does not replace the need for skilled professionals who interpret data, develop models, and ensure ethical use. Data scientists and data science engineers are increasingly working alongside AI tools to enhance decision-making and innovation. The demand for expertise in programming, statistical analysis, and machine learning remains strong in the industry.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

Is 40 too late for data science?

Data Science Engineers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.
What are popular job titles related to Data Science Engineer jobs in Washington, DC? For Data Science Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Washington, DC look for? The top searched job categories for Data Science Engineer jobs in Washington, DC are:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Washington, DC as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $146,365 per year, or $70.4 per hour.
Data Science Engineer

Data Science Engineer

Booz Allen Hamilton

Mclean, VA • On-site

$116K - $139K/yr

Full-time

Posted 28 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

Job Summary:
Booz Allen Hamilton is a leading consulting firm that focuses on advanced technology solutions. As a Data Science Engineer, you will develop workflows and platforms to transform complex data sets into meaningful information, collaborating with a multidisciplinary team to tackle global challenges.
Responsibilities:
• Help build advanced technology solutions and implement data science and engineering activities on mission-driven projects.
• Deploy and develop workflows, pipelines, and platforms that organize and make disparate data meaningful.
• Work with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced and agile environment.
• Use your passion to master new tools and techniques and identify needed system improvements.
• Help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies.
• Ensure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements.
Qualifications:
Required:
• 4+ years of experience with python, SQL, ETL, and data pipelines
• Experience with containers or container orchestration technologies, such as Kubernetes
• Experience with data engineering concepts and implementations
• Experience writing source code for new applications or generating and enhancing code samples for existing applications
• Experience creating solutions to complex problems within a collaborative and cross-functional team
• TS/SCI clearance with a polygraph
• Bachelor's degree
Preferred:
• 1+ years of experience with Spark, containerization, ELK, or OpenSearch
• Experience acquiring client requirements and designing and recommending solutions based upon these requirements
• Experience with AWS technologies, including AWS or S3
• Experience with infrastructure as code languages, such as Terraform
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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