1

Python Data Jobs in Massachusetts (NOW HIRING)

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

You prefer Python to R and don't understand why there is still a debate. Jupyter is a necessary ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ ...

... data engineering ecosystems. The role requires strong hands-on expertise in Python, Java, Angular, PySpark, Apache Spark, AWS, event-driven technologies, databases, IaC, CI/CD, and DevOps practices ...

Python Tutor

Lynn, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

Python Tutor

Newton, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Boston, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Lowell, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Somerville, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Lawrence, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Cambridge, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Northampton, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Quincy, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Waltham, MA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

You prefer Python to R and don't understand why there is still a debate. Jupyter is a necessary ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 ...

next page

Showing results 1-20

Python Data information

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What job categories do people searching Python Data jobs in Massachusetts look for?

The top searched job categories for Python Data jobs in Massachusetts are:

Infographic showing various Python Data job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Remote Senior Analytics Engineer - Python/Data Visualization

Boston, MA • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees

$40/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Job Description A leading organization serving the Property & Casualty insurance industry is seeking a Senior Analytics Engineer to join a team responsible for developing and enhancing internal data and analytics solutions that drive business growth and strategic decision-making.
In this role, you will help build and maintain a Python-based analytics platform that processes carrier and market data, validates and standardizes information, automates reporting, and delivers actionable insights to business stakeholders. The platform plays a critical role in supporting data-driven decision making and helping teams better understand market opportunities through advanced analytics and visualization.
The ideal candidate is a highly motivated analytics professional who can hit the ground running with minimal ramp-up time. This team is looking for someone who brings strong hands-on Python experience, excels at working with complex real-world datasets, and can quickly make meaningful contributions in a fast-paced environment. Required Skills & Experience
  • 4+ years of professional Python development experience
  • Experience building analytics, reporting, or data-focused applications
  • Strong experience working with Excel and CSV data sources
  • Experience cleaning, transforming, standardizing, and validating large datasets
  • Experience developing automated analytics and reporting solutions
  • Experience working with APIs and integrating external data sources
  • Strong data visualization experience
  • Ability to analyze large volumes of data and communicate actionable insights
  • Strong problem-solving and troubleshooting skills
  • Excellent communication and stakeholder management skills
  • Ability to work independently and contribute immediately with limited guidance
Desired Skills & Experience
  • Experience with Streamlit, Gradio, Taipy, or similar Python application frameworks
  • Experience with Pandera, Pydantic, or other data validation frameworks
  • Experience working with geospatial data
  • Experience within the Property & Casualty insurance industry
  • Experience supporting business development, sales analytics, or customer-facing analytics solutions
  • Familiarity with modern analytics engineering best practices
What You Will Be Doing Daily Responsibilities
  • 100% Hands-On
  • Design, develop, and maintain a Python-based analytics application
  • Process and analyze carrier and market datasets from various internal and external sources
  • Clean, standardize, validate, and reconcile large datasets
  • Build automated reporting and analytics workflows
  • Create dashboards, visualizations, and data products that support business decision-making
  • Integrate data from APIs, spreadsheets, and other structured sources
  • Identify trends, anomalies, and business opportunities through data analysis
  • Collaborate with stakeholders to gather requirements and deliver analytics solutions
  • Improve data quality, performance, and scalability across analytics processes
  • Troubleshoot data issues and continuously optimize existing workflows
The Offer
  • 6-Month Contract Opportunity
  • Compensation: Up to $40/hour, depending on experience
  • Opportunity to work on a highly visible analytics platform with direct business impact
  • Fast-paced environment where experienced professionals can contribute immediately
  • Potential for extension based on business needs and performance
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.