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Data Science Software Engineer Jobs (NOW HIRING)

VTG

Data Scientist

Mclean, VA

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 ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in analytics engineering, data engineering, data science, data analyst, or ...

Aquent

Software Development Engineer 1

Redmond, WA · On-site +1

$39 - $44/hr

Our mission is to empower scientific and data-science-focused customers by providing cutting-edge ... Are you a passionate software engineer eager to make a tangible impact on scientific discovery and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems.

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Data Science Software Engineer information

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$44.5K

$129.7K

$177.5K

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 the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.

More about Data Science Software Engineer jobs
What cities are hiring for Data Science Software Engineer jobs? Cities with the most Data Science Software Engineer job openings:
What states have the most Data Science Software Engineer jobs? States with the most job openings for Data Science Software Engineer jobs include:
What job categories do people searching Data Science Software Engineer jobs look for? The top searched job categories for Data Science Software Engineer jobs are:
Data Science Software Engineer jobs near you
Infographic showing various Data Science Software Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Software Engineer

Software Engineer

Etegent Technologies, Ltd

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago

Job description

Job Type
Full-time
Description
Software Engineer
Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities.
Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.
The Candidate:
More so than seeking a candidate with specific training and experience, Etegent seeks a special type of person; someone with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. They are flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.
The Position:
Etegent is seeking a Software Engineer to help transition data exploitation algorithms from R&D into useable software to benefit our Department of Defense (DoD) and Intelligence Community (IC) customers. This opportunity will involve application software development from conceptualization and implementation to delivery and sustainment for DoD and IC user groups. This position is based in our Dayton office with some work performed on-site in our customers' facilities.
The ideal candidate will have experience in all phases of the software development lifecycle, be detail oriented, and have a passion for creating software solutions to enhance the capabilities of others. Experience working on-site to support either AFRL or NASIC is preferable. The immediate focus will be working on projects in signal processing, algorithm efficiency, webstack, databasing, infrastructure and deployment.
Job responsibilities:
  • Write efficient, modular, and well-documented code.
  • Collaborate with machine learning scientists and engineers building data analytics tools.
  • Develop customized tool sets to accelerate machine learning data curation and quality control including machine assisted data labeling and quality checks.
  • Develop reliable machine learning pipelines to support research, training, evaluation, and deployment.
  • Build visualizations of complex numerical and scientific data.
  • Develop signal processing chains and algorithms to process large sensor data volumes with near real-time availability of results.
  • Design and implement optimized, low-level code on embedded hardware
  • Design and implement end user applications that leverage machine learning algorithms.
  • Build and deploy machine learning systems/computer vision systems for analysts.
  • Architect user interfaces/APIs for sensor simulation, exploitation, and analytics.
  • Identify architectures and tool sets to support design implementations and ways to optimize throughput.
  • Develop database schema and application interfaces to scale solutions on high performance computing environments (HPC/Cloud)
  • Assist in monitoring and directing project schedules, resources, and costs.
  • Report on software development status and demonstrate software to customers.
  • Build and maintain GitLab CI/CD pipelines for multiple projects.

Requirements
Required Qualifications:
  • Bachelor's Degree in Computer Science, Software Engineering, or computer-related engineering field.
  • We are open to new graduates or varying levels of professional software engineering experience.
  • Previous experience in Software Engineering.
  • Experience with data visualization tools or libraries.
  • Object Oriented software development knowledge and experience.
  • Unit testing tools and methodologies knowledge and experience.
  • Experience with Linux OS.
  • Strong oral and written communication skills.
  • Strong planning and capacity experience in a hands-on environment.
  • Ability to obtain and maintain a TS/SCI security clearance.

Preferred Qualifications:
  • Master's Degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 3+ years of experience in Software Engineering.
  • Experience working with relational SQL databases (e.g., PostgreSQL)
  • Strong knowledge of Python, and common data science / ML packages (e.g., NumPy, PyTorch)
  • Experience or knowledge in Machine Learning and Machine Learning Pipelines.
  • Experience analyzing user requirements and translating to technical designs.
  • Ability to understand the requirements of designing or transitioning software in a production environment
  • Capacity to come up to speed quickly on different algorithms.
  • Familiarity with geospatial standards, GIS applications, or geospatial data formats (e.g., GeoJSON, KML, Shapefiles).
  • Strong knowledge of C++, as well as GPUs and other embedded hardware
  • Experience with web development and common frameworks (e.g., React, TypeScript).
  • Knowledge and experience with WebGL, Web Map Service (WMS) and RESTful interfaces.
  • OpenGL, QT framework, and Web Services experience.
  • Experience scaling algorithms for high performance environments (Cloud/DSRC)
  • TS security clearance with active SCI adjudication.

Key Attributes:
  • Ability to work independently and as part of a team, with multiple simultaneous projects.
  • Welcomes a challenge: Seeks out opportunities and does not shy away from adversity.
  • Collaborative: Recognizes the team that is supporting them behind the scenes and works to regularly understand others' needs and communicates frequent updates.
  • Comfortable with adjusting to the needs of a small business and wearing several hats.

Working at Etegent:
At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:
Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
Fun employee events: Enjoy frequent employee get-togethers outside of work!
Competitive compensation based on qualifications and experience of candidate.
Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.

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