1

Python Data Jobs in Massachusetts (NOW HIRING)

... and Python (data manipulation, analysis, automation). • Expertise in data visualization tools (e.g., Tableau, Power BI, Looker). • Experience working with large, multi-source datasets and ...

Data Engineer

Boston, MA

$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

Northampton, MA · Remote

$18 - $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

$18 - $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

$18 - $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

Lynn, MA · Remote

$18 - $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

$18 - $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

$18 - $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

$18 - $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 ...

Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools * Experience taking a model from research to production and realizing ...

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical ...

Lead Data Engineer (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

next page

Showing results 1-20

Python Data information

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

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 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.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

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.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

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 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 July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Web Scraping Senior QA -Python - Freelance/Remote 100+ openings

Braintrust

Boston, MA • On-site

$132K - $177K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Open to candidates in the North America, South America, Asia and Europe.
Mindrift (Toloka) is looking for highly skilled Senior Python Data Scraping Engineers.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.


What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.


Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)
Project Details
  • Long-term project with an expected duration of at least 3–4 months, with the potential for extension based on project needs and performance.
  • Candidates should be available for a minimum of 20 hours per week. Availability of 30–40 hours per week is highly preferred.
  • This opportunity is best suited for developers looking for ongoing, meaningful project work rather than short-term or occasional tasks.
  • Work will be completed remotely and asynchronously, with access to project support and community channels.
Hiring & Onboarding Process

The process is designed to move quickly and typically includes the following steps:

  1. App review and invitation to a virtual project introduction session (approximately 30 minutes)
  2. Platform registration and identity verification
  3. Technical assessment (approximately 35 minutes)
  4. Background check (completed at no cost to candidates)
  5. Onboarding and project-specific training tasks
  6. Begin production work!
Additional Requirements
  • Willingness to complete identity verification as part of the onboarding process.
  • Ability to complete a technical assessment.
  • Willingness to join and participate in Discord, which will be used for project communication and updates.
  • Successful completion of a background check is required prior to onboarding.
  • Reliable internet connection and ability to communicate effectively in a remote environment.
What Makes This Opportunity Unique
  • Opportunity to contribute to cutting-edge AI initiatives alongside a large global network of technical experts.
  • Potential for significant weekly engagement for candidates with strong availability.
  • Structured onboarding process with dedicated support and project guidance.
  • Opportunity to participate in a project expected to scale substantially over the coming months.