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Data Extraction Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

Quincy MA Duration: 6+ Months Contract Advanced experience with Microsoft Power BI, DAX, Power Query, Power BI performance tuning, M, ETL, Python, PySpark, SQL We are currently seeking a Data Analyst ...

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.

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.

Perform data extraction, cleansing, and reporting. * Support product reviews, PSURs, vigilance activities, and patient safety meetings. * Track project milestones, manage actions, and provide ...

Write and optimize SQL queries against our data warehouse to extract, clean, and prepare datasets for analysis. * Maintain, troubleshoot, and perform minor enhancements on existing dashboards to ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

Data Engineer

Boston, MA

$124K - $149K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

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Data Extraction information

See Boston, MA salary details

$12

$30

$74

How much do data extraction jobs pay per hour?

As of Jun 27, 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.

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 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 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:
Infographic showing various Data Extraction job openings in Boston, MA as of June 2026, with employment types broken down into 44% Full Time, and 56% 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 • On-site

Other

Posted 16 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