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Data Extraction Jobs in Boston, MA (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction ...

Wellness Pet Company

ETL Developer Intern

Burlington, MA · On-site

$31.25 - $33.65/hr

Manage data extraction, transformation, and loading processes. * Implement data quality checks to ensure accuracy and integrity. * Monitor data pipeline performance and modify processes as needed.

Wellness Pet

ETL Developer Intern

Burlington, MA

$31.25 - $33.65/hr

Manage data extraction, transformation, and loading processes. * Implement data quality checks to ensure accuracy and integrity. * Monitor data pipeline performance and modify processes as needed.

Fidelity Investments

Data Scientist

Boston, MA · On-site

$83K - $158K/yr

Hands onexpertisein data extraction, cleaning, and preparation; feature extraction; model training and evaluation * Proven experience building analytics that deliver useful insights from large ...

SMART TECH SKILLS LLC

Data Scientist

Boston, MA · Remote

Data Integration & Stakeholder Collaboration • Perform complex SQL-based data extraction, transformation, feature engineering, and integration of third-party data sources. • Partner directly with ...

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All JobsData Extraction JobsData Extraction Jobs in Boston, MA

Data Extraction information

See Boston, MA salary details

$12

$30

$74

How much do data extraction jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for data extraction in Boston, MA is $30.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.21 and $33.45 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are the most commonly searched types of Data Extraction jobs in Boston, MA? The most popular types of Data Extraction jobs in Boston, MA are:
What are popular job titles related to Data Extraction jobs in Boston, MA? For Data Extraction jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Boston, MA look for? The top searched job categories for Data Extraction jobs in Boston, MA are:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $62,746 per year, or $30.2 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA

Other

Posted 14 days ago

Job description

Your Impact at LILA

Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, technical reports) into structured signals that power downstream Lila applications. As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems.

What You'll Be Building

  • Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem
  • Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance
  • Build and test pipelines that structure unstructured scientific data across text, tables, and visuals
  • Run extraction pipelines, analyze results, and document findings clearly
  • Share your work through a team presentation, write-up, or contribution to a publication or open-source project

What You'll Need to Succeed

  • Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field
  • Solid foundation in machine learning fundamentals and Python
  • Familiarity with NLP or computer vision concepts
  • Curiosity about scientific data and willingness to learn quickly in a research setting

Bonus Points For

  • Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction)
  • Experience working with messy, real-world datasets
  • Interest in scientific document parsing

Apply