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Internship Co Op Data Engineer Jobs (NOW HIRING)

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 ...

Western Magnetics

Engineering Intern

South San Francisco, CA · On-site

$20.25 - $26.25/hr

About the Internship & Co-op Program Westmag offers exciting Internship and Co-op opportunities for ... Basic knowledge of relevant tools or software (CAD, PCB layout tools, embedded programming, data ...

The Campbell?s Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op)We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

Tailored Closet

Internship/Co-op

Richmond, CA · On-site +1

$17.25 - $23/hr

Opportunity for advancement The Tailored Closet and PremierGarage is looking for an intern/co-op student to help manage the company books using QBO for a duration of 6 months. This is a remote ...

Western Magnetics

Engineering Intern

South San Francisco, CA

$20.25 - $26.25/hr

About the Internship & Co-op Program Westmag offers exciting Internship and Co-op opportunities for ... Basic knowledge of relevant tools or software (CAD, PCB layout tools, embedded programming, data ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... If you would like more information about how your data is processed, please contact us.

ClimateAi

Data Engineer I

San Francisco, CA

$115K - $145K/yr

The Role As a Data Engineer I at ClimateAi, you will be a hands-on contributor on the team that ... Internship, co-op, or open-source experience writing data pipelines in production-like environments

Waabi

Research Internship/Co-op

San Francisco, CA

$45 - $60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... If you would like more information about how your data is processed, please contact us. apply for ...

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Internship Co Op Data Engineer information

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How much do internship co op data engineer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for internship co op data engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Co Op Data Engineer vs Data Analyst?

AspectInternship Co Op Data EngineerData Analyst
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fieldsOften requires a degree in Statistics, Mathematics, or related fields
Work EnvironmentHands-on technical environment focused on data pipeline development and database managementAnalytical environment focused on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare, and industries with large data needsCommon across various industries for business insights and reporting

Internship Co Op Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to support decision-making. Both roles require analytical skills, but Data Engineers are more technical, working with data pipelines and databases, whereas Data Analysts focus on data visualization and reporting.

What cities are hiring for Internship Co Op Data Engineer jobs? Cities with the most Internship Co Op Data Engineer job openings:
What states have the most Internship Co Op Data Engineer jobs? States with the most job openings for Internship Co Op Data Engineer jobs include:
Internship Co Op Data Engineer jobs near you
Infographic showing various Internship Co Op Data Engineer job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA • On-site

Other

Posted 13 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