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Data Science Software Engineer Jobs in Virginia (NOW HIRING)

Altagrove LLC

Data Science

Norfolk, VA · On-site

Work closely with Cloud Engineers, DevSecOps Engineers, and Software Developers to support end-to ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Cymertek

HPC Software Engineer

Reston, VA · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Computational Science, Software Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, Data ...

Cymertek

HPC Software Engineer

Tysons, VA · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Computational Science, Software Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, Data ...

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 ...

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Computational Science, Software Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, Data ...

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

$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 ...

VTG

Software Engineer

Reston, VA

$105K - $150K/yr

... 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 ...

Cymertek

Level Software Engineer

Chantilly, VA · On-site

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

Cymertek

Level Software Engineer

Reston, VA · On-site

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

Cymertek

Level Software Engineer

Tysons, VA · On-site

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

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics * Cloud Development Certification, including AWS ...

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All JobsData Science Software Engineer JobsData Science Software Engineer Jobs in Virginia

Data Science Software Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

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

As of Jul 14, 2026, the average yearly pay for data science software engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 Virginia? For Data Science Software Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Software Engineer jobs in Virginia look for? The top searched job categories for Data Science Software Engineer jobs in Virginia are:
Data Science Software Engineer jobs near you
Data Scientist / Cloud Software Engineer

Data Scientist / Cloud Software Engineer

Cymertek Corporation

Chantilly, VA • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented Data Scientist / Cloud Software Engineer to contribute to the development of innovative cloud-based solutions that leverage advanced data analytics. In this role, you will design and build scalable cloud architectures while applying data science techniques to drive insights and decision-making.
Responsibilities:
• Design and implement cloud-based data solutions
• Build scalable data processing workflows
• Develop and maintain machine learning models
• Collaborate with cross-functional teams to deliver insights
• Ensure data security and compliance
• Document and communicate technical solutions
Qualifications:
Required:
• Proficiency in Python or Java
• Experience with cloud platforms like AWS or GCP
• Expertise in big data tools like Spark or Hadoop
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch
• Knowledge of SQL and NoSQL databases
• Ability to optimize and monitor cloud-based pipelines
• Bachelor's Degree in Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, etc.
• TS/SCI Full Poly clearance
• Full U.S. Citizenship
Preferred:
• Familiarity with Infrastructure as Code (IaC) tools
• Knowledge of real-time data processing platforms
• Understanding of advanced statistical methods
• Experience with serverless computing models
• Knowledge of containerization tools like Docker or Kubernetes
• Ability to integrate machine learning models into production systems
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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