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Python Data Wrangler Internship Jobs in Massachusetts

Karen Clark & Company

Property Data Specialist

Boston, MA · On-site

$85K - $95K/yr

Wrangle and adjust messy or out-of-date datasets. * Make informed, defendable assumptions where ... Competent and proven analytical skills and programming experience in R/Python and SQL. * Excellent ...

Counsel Health

Founding Data Analyst

Boston, MA · On-site

$90 - $140/hr

This is an early-stage, high-impact founding role spanning data wrangling and pipeline development ... Strong SQL, and Python or a similar language to be dangerous * Comfort with data that's messy and ...

Gunderson LLC

Fund Data Specialist

Boston, MA · Hybrid

$80K - $100K/yr

A working knowledge of data analysis tools including SQL, Python, Microsoft Excel, Tableau, and/or ... Strong data cleaning and manipulation techniques including data transformation, data wrangling ...

Pwc

AI Engineer

Boston, MA

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable ... using Python and TensorFlow - Integrating data from various sources to create unified views for ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

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Python Data Wrangler Internship information

What does a Python Data Wrangler intern do?

A Python Data Wrangler Intern is responsible for collecting, cleaning, organizing, and preparing data for analysis, primarily using Python programming. Their work involves writing scripts to handle messy or unstructured data from various sources, ensuring it is accurate and usable for data science or analytics teams. Tasks may include automating data extraction, transforming data formats, and collaborating with team members to support data-driven projects. This role provides hands-on experience with real-world datasets and tools commonly used in the industry.

What are some typical projects or tasks assigned to Python Data Wrangler interns, and how do these contribute to the overall data team?

As a Python Data Wrangler intern, you are likely to work on projects involving data cleaning, transformation, and integration from multiple sources. Typical tasks include writing scripts to automate data preprocessing, identifying and correcting inconsistencies, and ensuring data integrity for analytics pipelines. You'll often collaborate closely with data analysts, data engineers, and sometimes machine learning teams to prepare datasets that drive business insights. These contributions are vital, as high-quality, well-structured data forms the foundation for all downstream analytics and decision-making within the organization.

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

To thrive as a Python Data Wrangler Intern, you need a solid understanding of Python programming, data manipulation, and foundational knowledge in statistics or data science. Familiarity with tools such as pandas, NumPy, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving, attention to detail, and effective communication skills set candidates apart in this role. These abilities are crucial for efficiently cleaning, transforming, and interpreting data to support accurate analysis and collaborative project work.

What is the difference between Python Data Wrangler Internship vs Data Analyst Intern?

AspectPython Data Wrangler InternshipData Analyst Intern
Required SkillsPython, data cleaning, scriptingExcel, SQL, basic statistics
Work EnvironmentData preprocessing, scripting tasksData analysis, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

The Python Data Wrangler Internship focuses on data cleaning and scripting using Python, ideal for those interested in data preprocessing roles. In contrast, Data Analyst Internships involve analyzing data and creating reports, often requiring Excel and SQL skills. Both roles are common in tech and business sectors, but they serve different stages of data handling and analysis.

What are popular job titles related to Python Data Wrangler Internship jobs in Massachusetts?

For Python Data Wrangler Internship jobs in Massachusetts, the most frequently searched job titles are:

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

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

Python Data Wrangler Internship jobs near you
Infographic showing various Python Data Wrangler Internship job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full Stack Engineer Hybrid (Cambridge, MA)

S27a

Boston, MA • On-site

$120 - $160/hr

Other

Posted 18 days ago

Key responsibilities

  • Design and build the customer-facing interface for exploring building data, energy simulations, and upgrade recommendations.

  • Connect, normalize, and integrate data from diverse sources into a unified format for use in models and applications.

  • Extend the backend API to support new data products, visualizations, and customer workflows, and contribute to the energy simulation job systems.

Job description

Location: Boston

Type: Full-time, early technical hire

What you’ll help build

  • Customer-Facing Interface: Help design and build the interface where customers explore building data, view energy simulations, and act on upgrade recommendations.

  • Data Pipelines & Integrations: Connect and normalize data from diverse sources (satellite imagery, utility records, building permits, economic data) into a unified format our models can use.

  • API Development: Extend our FastAPI backend to serve new data products and support frontend features.

  • Simulation Workflow: Contribute to the asynchronous job systems that run energy simulations at scale across thousands of buildings.

Day-to-day (Your First 90 Days)

Month 1: Orientation & UI

  • Get up to speed on the core stack (Python, FastAPI, PostgreSQL, AWS).

  • Take ownership of your first front-end components and ship a customer facing feature to production.

Month 2: Start getting into the backend and data pipelines

  • Extend the API to support new data visualizations and customer workflows based on customer feedback and input.

  • Wrangle messy datasets: cleaning, formatting, and integrating sources that may require custom web scrapes, pdf parsing, etc. across different location granularities (e.g., county, state, federal).

Month 3: E2E ownerships

  • Own a feature from API design through frontend deployment.

  • Contribute to the feedback loop: how we ingest customer input and use it to improve outputs.

In 6 months, success looks like

  • You have a deep understanding of our full analytics platform and can navigate the codebase with confidence.

  • You are shipping high-quality code across the entire stack, from frontend components to backend logic and AI integrations.

  • Engineering velocity is high because you are a proactive problem solver who can unblock yourself and others.

The kind of problems you’ll enjoy

  • Data normalization: Buildings don't come with clean datasets. You'll figure out how to reconcile mismatched addresses, incomplete utility records, and inconsistent permit data into something usable.

  • Making dense outputs legible: Energy simulations produce a lot of numbers. You'll build interfaces that help non-technical users understand what matters and what to do next.

  • Fast iteration with real customers: We work directly with our users to improve our products, and want to ensure we are always developing new features that align with their vision.

You might have done some of this

  • Built and deployed web applications using Python and a modern JS framework (Svelte, React, Vue, or similar).

  • Designed REST APIs and worked with relational databases (PostgreSQL or equivalent).

  • Wrangled imperfect data—cleaning, transforming, or integrating datasets from multiple sources.

  • Shipped something end-to-end, whether through internships, personal projects, or open-source work.

  • CS degree or equivalent experience (new grads welcome!).

What makes this role special

  • Early team ownership: You’ll join an experienced founding team—a former McKinsey partner, a technical founder with deep energy expertise, and an experienced operator.

  • Greenfield + real traction: We’ve proven the MVP and have paying customers—now we’re scaling to thousands of buildings.

  • Surface area that matters: Every feature you build directly contributes to bending the curve down on global emissions.

What we value

  • Intellectual Curiosity: A desire to learn the "why" behind building energy systems and AI models.

  • Pragmatic rigor: Measure, ship, iterate.

  • Low-ego collaboration: Teach, learn, and write things down.

Compensation

Competitive salary + potential for equity (early-engineer level).

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