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Data Engineer Internship Jobs in Boston, MA (NOW HIRING)

Leidos

Relay Settings Engineer

Framingham, MA · On-site +1

$57K - $104K/yr

... engineering internship. Junior candidates must be able to work a hybrid schedule in either ... data, applicable bargaining agreement (if any), or other law.

826 National

Internship Program Manager

Roxbury, MA

$16.25 - $21.75/hr

... Boston's programming Mission 826 Boston is a nonprofit writing, tutoring, and publishing ... Manage program data, including administering internship surveys and maintaining personnel files.

826 Boston

Internship Program Manager

Roxbury, MA · On-site

$62K/yr

... Boston's programming Mission 826 Boston is a nonprofit writing, tutoring, and publishing ... Manage program data, including administering internship surveys and maintaining personnel files.

826 Boston

Internship Program Manager

Roxbury, MA · On-site

$16.25 - $21.75/hr

... Boston's programming Mission 826 Boston is a nonprofit writing, tutoring, and publishing ... Manage program data, including administering internship surveys and maintaining personnel files.

826 Boston

Internship Program Manager

Roxbury, MA · On-site

$16.25 - $21.75/hr

... Bostons programming Mission 826 Boston is a nonprofit writing, tutoring, and publishing ... Manage program data, including administering internship surveys and maintaining personnel files.

IntraEdge

Java Engineer

Boston, MA

$54.50 - $74.75/hr

Understanding of data structures, algorithms, and software design principles. * Strong analytical ... Internship or project experience developing enterprise or cloud-native applications. We are seeking ...

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All JobsData Engineer JobsData Engineer Internship JobsData Engineer Internship Jobs in Boston, MA

Data Engineer Internship information

See Boston, MA salary details

$14

$27

$42

How much do data engineer internship jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data engineer internship in Boston, MA is $27.61, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $31.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data engineer internship, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a data engineer internship?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a data engineer internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the most commonly searched types of Data Engineer jobs in Boston, MA? The most popular types of Data Engineer jobs in Boston, MA are:
What are popular job titles related to Data Engineer Internship jobs in Boston, MA? For Data Engineer Internship jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship jobs in Boston, MA look for? The top searched job categories for Data Engineer Internship jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Engineer Internship jobs? Cities near Boston, MA with the most Data Engineer Internship job openings:
Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Boston, MA as of August 2026, with employment types broken down into 7% Internship, 82% Full Time, 9% Part Time, and 2% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $57,431 per year, or $27.6 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 8 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension