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Data Science Software Engineer Jobs in Washington

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

You Have: * 2+ years of experience within data engineering, data science, software engineering, or data analytics * Experience with ETL operations or pipeline development, including on-premises or ...

... Data Science, Mechanical Engineering, Aerospace Engineering, Computational Biology, Computational Chemistry, Information Technology, Systems Engineering, Artificial Intelligence, High-Performance ...

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity ...

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Showing results 1-20

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 Jul 21, 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.

Which is the hardest field in it?

For a Data Science Software Engineer, the most challenging fields often involve complex machine learning algorithms, large-scale data processing, and advanced statistical analysis. Staying current with rapidly evolving tools like Python, R, and cloud platforms also requires continuous learning and adaptation. These areas demand strong problem-solving skills and deep technical knowledge.

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.

Can a software engineer work as a data scientist?

A software engineer can transition to a data scientist role by developing skills in statistics, machine learning, and data analysis, often using tools like Python, R, and SQL. While the roles have different focuses, software engineers' programming expertise can be a strong foundation for data science work, especially with additional training or experience in data modeling and analytics.

Is 40 too late for data science?

Data science software 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 not a barrier if you develop the necessary technical expertise and stay current with industry trends.

What engineers make $500,000?

Senior data science software engineers with extensive experience, advanced skills in machine learning, and proficiency in tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.
Data Science Software Engineer - up to $250K - FS Poly with Security Clearance

Data Science Software Engineer - up to $250K - FS Poly with Security Clearance

SRC

Laurel, MD • On-site

$113K - $136K/yr

Other

Dental, Vision, Retirement

Posted 3 days ago

New


Job description

Our client has supported the warfighter and national security for over 35 years while maintaining the energy, agility, and flat hierarchy of a startup. They specialize in the mission-critical platforms that keep global finance and major infrastructure running by building secure, end-to-end systems that handle high-consequence data and ensure operational integrity on a massive scale. Engineers stay here long-term because of the rare combination of mission stability and a genuine investment in professional growth, fostered by a culture that respects autonomy and rewards technical mastery through a people-first mindset. To support this, they offer a heavy-hitting benefits package: a 10% 401(k) contribution, annual bonuses, 31 days of leave, and 100% company-paid dental, vision, and disability insurance. They believe in supporting their team where it matters most: with full tech reimbursements and paid certifications, they make it easy to level up your skills while working on high-impact projects as the company scales. If you are looking to skip the corporate hoops and join a team that trusts you to do your job, this is the place for you. They are seeking a Data Science Software Engineer to join their team. Relevant Qualifications: -Bachelor's Degree in a technical field -7+ years of professional experience -Experience with Python, Java, or Scala -Experience with Machine Learning -Knowledge and interest in Data Science and exploratory data analysis This role is located in Laurel, MD and the work requires a TS/SCI + Full-Scope Polygraph.