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Data Science Software Engineer Jobs in Washington

VTG

Data Engineer

Mclean, VA

$115K - $139K/yr

Bachelor's degree in computer science, Software Engineering, or related field. * 5+ years of experience in data engineering or a related field * Strong proficiency in SQL and experience with ...

VTG

Data Engineer

Herndon, VA

$117K - $141K/yr

Bachelor's degree in computer science, Software Engineering, or related field. * 5+ years of experience in data engineering or a related field * Strong proficiency in SQL and experience with ...

VTG

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Bachelor's degree in computer science, Software Engineering, or related field. * 5+ years of experience in data engineering or a related field * Strong proficiency in SQL and experience with ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Social Impact

Software Engineering Intern

Washington, DC · On-site

Pursuing a degree in Computer Science, Software Engineering, Data Science, or related field * Strong problem-solving mindset * Ability to work independently and collaboratively * Interest in scalable ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

VTG

Software Engineer

Reston, VA

... data management solutions Do you have what it takes? * Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or ...

SteerBridge

Software Engineer

Vienna, VA

Collaborate with engineering, data science, and mission stakeholders * Participate in peer code reviews and software quality assurance activities * Contribute to CI/CD pipeline development and ...

SteerBridge

Software Engineer

Vienna, VA · On-site

$140K - $160K/yr

Collaborate with engineering, data science, and mission stakeholders * Participate in peer code reviews and software quality assurance activities * Contribute to CI/CD pipeline development and ...

SteerBridge

Software Engineer

Vienna, VA · On-site

$140K - $160K/yr

Collaborate with engineering, data science, and mission stakeholders * Participate in peer code reviews and software quality assurance activities * Contribute to CI/CD pipeline development and ...

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All JobsData Science Software Engineer JobsData Science Software Engineer Jobs in Washington

Data Science Software Engineer information

See Washington salary details

$50.4K

$146.9K

$201K

How much do data science software engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data science software engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Software Engineer, and why are they important?

To thrive as a Data Science Software Engineer, you need strong proficiency in programming (especially Python or R), a solid understanding of statistics and algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data processing tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is essential, as are relevant certifications. Excellent problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams set top performers apart. These competencies are vital for efficiently developing scalable data-driven solutions that drive business insights and innovation.

How does a Data Science Software Engineer typically collaborate with data scientists and other stakeholders on projects?

Data Science Software Engineers play a vital role in bridging the gap between data science and software engineering teams. They work closely with data scientists to translate prototypes and models into scalable, production-ready code, and often collaborate with product managers, analysts, and infrastructure engineers to ensure seamless integration. Regular communication and code reviews are essential, as is an iterative development process to address feedback and ensure solutions meet both technical and business requirements. This cross-functional collaboration helps deliver robust data-driven applications that align with organizational goals.

What is a Data Science Software Engineer?

A Data Science Software Engineer is a professional who combines software engineering skills with data science expertise to build scalable data-driven systems and applications. They design, develop, and optimize software that supports data pipelines, machine learning models, and analytics platforms. Their work bridges the gap between data scientists, who focus on statistical analysis and modeling, and traditional software engineers, who focus on building robust and efficient software systems. Data Science Software Engineers ensure that data solutions are production-ready, scalable, and maintainable.

What is the difference between Data Science Software Engineer vs Data Analyst?

AspectData Science Software EngineerData Analyst
Required SkillsProgramming, software development, machine learningData visualization, statistical analysis, reporting
Work EnvironmentSoftware development teams, engineering projectsBusiness units, reporting teams
Common ToolsPython, Java, SQL, ML frameworksExcel, Tableau, SQL, R
Industry UsageTech, finance, healthcare, startupsMarketing, finance, retail, research

While both roles analyze data, Data Science Software Engineers focus on developing software solutions and machine learning models, requiring strong programming skills. Data Analysts primarily interpret data through visualization and statistical methods to support business decisions. The roles often overlap but serve different functions within organizations.

What are popular job titles related to Data Science Software Engineer jobs in Washington? For Data Science Software Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Software Engineer jobs in Washington look for? The top searched job categories for Data Science Software Engineer jobs in Washington are:
What cities in Washington are hiring for Data Science Software Engineer jobs? Cities in Washington with the most Data Science Software Engineer job openings:
Data Science Software Engineer jobs near you
Infographic showing various Data Science Software Engineer job openings in Washington as of June 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Senior Software Engineer - Machine Learning / Data Science

Staffed4U

Laurel, MD

$220K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Software Engineer - Level 3 (Machine Learning / Data Science)Location: Laurel, MD (Onsite)
Clearance: Active TS/SCI with Poly required
Citizenship: U.S. Citizenship required
Salary Range: $220,000-240,000Position Overview

We are seeking a highly experienced Software Engineer 3 (SWE-3) to support mission-critical government programs in Laurel, MD. The ideal candidate will possess extensive experience in software engineering, machine learning, and data analytics within secure government environments. This role requires hands-on development expertise, advanced analytical skills, and the ability to support agency compliance and operational standards.

Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field plus 20 years of relevant experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work on-site in Laurel, MD five days per week
Required Skills & Experience
  • Experience with Java, Scala, and Python
  • Experience with Lucene, JEXL, SQL, and JSON
  • Experience developing in Linux operating environments
  • Experience with Map/Reduce
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/GitLab and/or Stash/Bitbucket
  • Experience with Jira and Confluence
  • Experience with Scikit-learn
  • Experience building and monitoring Machine Learning models
  • Experience with Random Forest algorithms and feature development
  • Understanding of Agency compliance standards, policies, and authorities
  • Experience working with Agency corporate systems
  • Experience creating, reviewing, and maintaining technical documentation
Desired Skills & Experience
  • Data Science background and analytical expertise
  • Experience with AWS cloud technologies
  • Experience implementing Machine Learning systems in production environments
  • Experience with Apache Spark
  • Experience performing Exploratory Data Analysis (EDA)
  • Experience with Agentic AI technologies
  • Experience working with Large Language Models (LLMs)
  • Experience with Machine Learning feature engineering and development
  • Familiarity with additional Machine Learning models and advanced analytical techniques
Preferred Attributes
  • Strong problem-solving and analytical capabilities
  • Ability to work independently and collaboratively within mission-focused teams
  • Excellent written and verbal communication skills
  • Experience supporting high-security government environments
Compensation & Benefits
  • Competitive salary based on experience and qualifications
  • Comprehensive benefits package
  • Opportunity to support impactful national security missions
  • 100% employer-paid Medical, Dental, and Vision coverage for employees and their families (CareFirst)
  • 401(k) with employer match
  • Generous Paid Time Off and paid holidays
  • Annual bonus opportunities
  • Employer-paid short-term and long-term disability insurance
  • Employer-paid life insurance (150% of salary, up to $200K)
  • Monthly stipend for cell phone and internet
  • Additional employee perks and recognition programs
 
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.