1

Python R Developer Jobs in Boston, MA (NOW HIRING)

Wind Engineer

Boston, MA · On-site

$90K - $100K/yr

Experience in numerical modeling and scientific programming using Python, R, C#, or similar languages, with demonstrated data mining and statistical analysis skills * Strong skills in technical ...

Wind Engineer

Boston, MA · On-site

$90K - $100K/yr

Experience in numerical modeling and scientific programming using Python, R, C#, or similar languages, with demonstrated data mining and statistical analysis skills * Strong skills in technical ...

Wind Engineer

Boston, MA · On-site

$90K - $100K/yr

Experience in numerical modeling and scientific programming using Python, R, C#, or similar languages, with demonstrated data mining and statistical analysis skills * Strong skills in technical ...

Senior Engineer III, ADME

Boston, MA · On-site

$113K - $155K/yr

Data visualization (Spotfire, Python, R, or similar). The base salary range for this role is $185,000k - $278,800k Actual pay within this range will depend on a candidate's skills, expertise, and ...

Wind Engineer

Boston, MA · On-site

$90K - $100K/yr

Experience in numerical modeling and scientific programming using Python, R, C#, or similar languages, with demonstrated data mining and statistical analysis skills * Strong skills in technical ...

Python PySpark Java Springboot, Microservices, API/Rest Services, AWS Services, Redshift Postgres ... Any working knowledge of R is preferred. Additional Required Qualifications • Bachelor's degree ...

Showing results 21-40

Python R Developer information

See Boston, MA salary details

$14

$63

$93

How much do python r developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python r developer in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

What cities near Boston, MA are hiring for Python R Developer jobs?

Cities near Boston, MA with the most Python R Developer job openings:

Infographic showing various Python R Developer job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 8% Part Time, and 7% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $132,468 per year, or $63.7 per hour.

Senior Manager, Advanced Data Analytics and Insights

Boston, MA

Fidelity Investments
Investment Management and Consulting Services • 10K+ employees

$126K - $166K/yr

Full-time

Re-posted 10 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 274 frontline employees who took The Breakroom Quiz


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Position Description:

Partners with consumers of the analytics data platform to gather requirements and translate them into clear specifications for data engineers to ensure appropriate data products are developed. Contributes to product design discussions and supports adherence to established product standards during development. Validates and quality-checks newly built data tables to confirm accuracy, completeness, and readiness for use. Builds dashboards, scorecards, and reports using visualization tools including Tableau, Power BI, Qlik, Looker, Amazon Web Services (AWS) Quicksight, and Data Studio. Programs data-processing and analytics components using Structured Query Language (SQL), Python, R, and

related technologies to support business-intelligence needs.

Primary Responsibilities:

  • Defines and leads enterprise-level data strategy and analytics initiatives.

  • Develops and implements advanced analytical frameworks.

  • Designs, develops, and maintains scalable data and software solutions using Agile methodologies.

  • Develops and maintains cloud-based analytics environments and applications using AWS services.

  • Designs and implements digital analytics solutions using Adobe Analytics to monitor user behavior and digital performance.

  • Transforms complex quantitative and qualitative data into actionable insights that inform strategic decision-making.

  • Creates performance-measurement frameworks, defines metrics, and develops intuitive reporting interfaces to enhance organizational performance.

  • Produces recurring financial, operational, and market-intelligence reports by synthesizing findings from multiple data sources.

  • Develops data engineering, analytics, visualization, and cloud solutions and translates complex data into actionable insights for leadership and cross-functional stakeholders.

  • Mentors junior analysts.

  • Performs independent and complex technical and functional analysis for multiple divisional initiatives.

  • Develops innovative insights to support strategic business goals.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing end-to-end data and analytics solutions, spanning Agile development, advanced

programming, big-data querying, cloud technologies, visualization, and cross-functional insight delivery, to support strategic business and product decision-making.

Or, alternatively, Master's degree in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing end-to-end data and analytics solutions, spanning Agile development, advanced programming, big-data querying, cloud technologies, visualization, and cross-functional insight delivery, to support strategic business and product decision-making.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") designing and developing intuitive dashboards, business, and data analytics reports; providing business and operational insights using Tableau or Power BI; and transforming raw data into actionable information to enable data-driven decision making and optimal business outcomes, using SQL or Tableau.

  • DE performing functional, integration, and report testing to ensure the accuracy of business reports, validating data completeness, constraints, and duplication, using SQL and Excel; identifying, validating, and resolving discrepancies in measures and dimensions for real-time custom reporting using SQL and Business Intelligence (BI) tools (Tableau or Power BI).

  • DE deploying and maintaining code using Continuous Integration and Continuous Delivery (CI/CD) tools (Jenkins and GitHub); and automating, coordinating, and optimizing the scheduling of complex workflows and data processing jobs (to ensure timely and efficient executions) with scheduling platforms (Control-M).

  • DE performing end-to-end data engineering and analytics development using SQL, Python, R, and Google BigQuery within an Agile software development environment.

Salary: $126,775.00 to $166,000.00/year.

#PE1M2

#LI-DNI

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


What Fidelity Investments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom