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Data Science Software Engineer Jobs in Boston, MA

Senior Software Engineer

Boston, MA · Hybrid

$98K - $147K/yr

We are seeking a Software Engineer to join our Data & AI Engineering team to build modern, scalable ... Strong foundation in computer science fundamentals, including data structures, algorithms, and ...

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

Document technical specifications, solutions, and processes for future reference Qualifications * 6+ years dynamic experience in data engineering, data science, software development, analytics or ...

Sr. Data Engineer

Milford, MA

$125K - $150K/yr

Document technical specifications, solutions, and processes for future reference Qualifications * 6+ years dynamic experience in data engineering, data science, software development, analytics or ...

Software Engineer II

Boston, MA · On-site

$120K - $190K/yr

Collaborate with multi-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions. * Solve data quality issues and ...

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

Document technical specifications, solutions, and processes for future reference * 6+ years dynamic experience in data engineering, data science, software development, analytics or similar roles

The Manager partners with Product, Engineering, Analytics, and cross-functional stakeholders to ... Knowledge of standard software development methodologies and a history of driving continuous ...

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Showing results 1-20

Data Science Software Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Jun 9, 2026, the average yearly pay for data science software engineer in Boston, MA is $140,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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 Boston, MA? For Data Science Software Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Science Software Engineer jobs in Boston, MA look for? The top searched job categories for Data Science Software Engineer jobs in Boston, MA are:
Scientific Software Engineer - Hardware Compilation

Scientific Software Engineer - Hardware Compilation

QuEra Computing, Inc.

Boston, MA

$102K - $166K/yr

Other

Posted 18 days ago


Job description

Summary

QuEra Computing, Inc. seeks a creative and collaborative Scientific Software Engineer to help solve the unique software challenges of integrating high-level applications into state-of-the-art neutral-atom quantum computers. You will have the opportunity to work with a vibrant scientific software team and a community of industry and academic collaborators and to help our growing team of diverse experts address fascinating challenges, ranging from classical compiler techniques to direct integration with low-level hardware components. Using our open-source toolchain, Kirin, you will be building QuEra's compiler pipeline together with experimental & computational physicists from low-level hardware instructions to high-level programming languages. This involves the development of new features and infrastructure for hardware execution. You will be co-designing compilers and hardware infrastructure for the next generation of quantum computing using cutting-edge neutral-atom and quantum error correction technologies. This new direction involves multiple new challenges in both engineering and science.

Responsibilities

  • Develop and maintain domain-specific language (DSL) for pulse-level programs and its associated compilation stack
  • Support integration of pulse compilation into multiple quantum computer builds
  • Collaborate with Quantum Error Correction (QEC) scientists and hardware control team to plan and develop hardware features required for executing QEC algorithms
  • Collaborate with other members of the scientific software team to integrate gate-level and atom-move compilation

Qualifications

  • Masters in Computer Science with focus on quantum computation/architecture/programming language/compiler, or equivalent professional experience
  • Enthusiastic about building tools used by non-software developers
  • Experience with Python semantics, Python type hints, CPython interpreter
  • Experience with modern C++ projects and tooling around those projects
  • Experience with Static Single Assignment intermediate representations-based compiler
  • Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation

Preferred Qualifications

  • Ph.D. in Computer Science with focus on quantum computation/architecture/programming language/compiler, or equivalent professional experience
  • Experience with FPGA programming
  • knowledge in quantum physics and AMO physics
  • Experience in programming language design, especially programming language theory
  • knowledge in quantum error correction
  • Contribution to existing open-source libraries

The approximate base salary range for this position is $102,400 - $166,400.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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