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Data Science Software Engineer Jobs in Washington

Data Science Software Engineer

Columbia, MD ยท On-site

$185 - $200/hr

Join us as a Data Scientist supporting a high-impact mission. We are looking a motivated and mission-driven engineer and scientist to help develop and shape how SIGINT data is processed, modeled, and ...

Position Overview The Software Engineer will develop, enhance, and prototype compliance and ... Data Science background * AWS experience * Experience implementing Machine Learning systems

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

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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 Aug 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 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 are the key skills and qualifications needed to thrive as a data science software engineer?

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 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:

Infographic showing various Data Science Software Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Science Software Engineer

Columbia, MD โ€ข On-site

$185 - $200/hr

Other

Posted 11 days ago


Job description

Join us as a Data Scientist supporting a high-impact mission. We are looking a motivated and mission-driven engineer and scientist to help develop and shape how SIGINT data is processed, modeled, and analyzed at mass.
Working directly with TDNAs, data scientists, and fellow SMEs, you'll leverage your experience with analytical algorithms, machine learning, and advanced programming to improve the customer and analysts' overall mission.
Experience with SIGDEV and/or RF (HF, VHF, UHF, SATCOM) are nice to haves.

Salary range:$185,000-200,000
Disclaimer:Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc.

Experience Requirement:
  • 10yrs. with a B.S. in a technical discipline
  • 8 yrs. with a M.S. in a technical discipline
Clearance Requirement:

Active TS/SCI with a polygraph

Description:

Join us as a Data Scientist supporting a high-impact mission. We are looking a motivated and mission-driven engineer and scientist to help develop and shape how SIGINT data is processed, modeled, and analyzed at mass.
Working directly with TDNAs, data scientists, and fellow SMEs, you'll leverage your experience with analytical algorithms, machine learning, and advanced programming to improve the customer and analysts' overall mission.
Experience with SIGDEV and/or RF (HF, VHF, UHF, SATCOM) are nice to haves.

Salary range:$185,000-200,000
Disclaimer:Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc.

Experience Requirement:
  • 10yrs. with a B.S. in a technical discipline
  • 8 yrs. with a M.S. in a technical discipline
Clearance Requirement:
  • Active TS/SCI with a polygraph
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