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

Busek

2026 Summer Intern

Natick, MA · On-site

$20 - $30/hr

Engineering Intern - Summer 2026 Location: Natick, MA About Busek: Busek Co. Inc. is a pioneer in ... project data. * Collaborate with cross-disciplinary teams to solve engineering challenges.

Busek Co Inc

2026 Summer Intern

Natick, MA · On-site

Engineering Intern - Summer 2026 Location: Natick, MA About Busek: Busek Co. Inc. is a pioneer in ... project data. * Collaborate with cross-disciplinary teams to solve engineering challenges.

RadNet

Intern Software Development

Somerville, MA

$21 - $27.50/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Computer Engineering, or related field * Strong foundation in data structures and algorithms

RadNet

Intern Software Development

Somerville, MA

$28 - $30/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Computer Engineering, or related field * Strong foundation in data structures and algorithms

RadNet

Intern Software Development

Somerville, MA · On-site

$28/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Computer Engineering, or related field * Strong foundation in data structures and algorithms

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

Data Engineer Intern information

See Boston, MA salary details

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How much do data engineer intern jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data engineer intern 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 is the difference between Data Engineer Intern vs Data Analyst Intern?

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

What types of projects and responsibilities can a Data Engineer Intern typically expect during their internship?

As a Data Engineer Intern, you can expect to work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. You'll likely collaborate closely with data engineers, data scientists, and business analysts to ensure data accuracy and accessibility. Interns often use tools like SQL, Python, and cloud platforms, gaining exposure to real-world datasets and technologies. This role provides an excellent opportunity to learn industry best practices and receive mentorship while contributing meaningfully to the team's objectives.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern, and why are they important?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.
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 cities near Boston, MA are hiring for Data Engineer Intern jobs? Cities near Boston, MA with the most Data Engineer Intern job openings:
Data Engineer Intern jobs near you
Infographic showing various Data Engineer Intern job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,435 per year, or $27.6 per hour.
Data Engineer Intern/Co-op

Data Engineer Intern/Co-op

Plymouth Rock Assurance Corporation

Boston, MA

$25 - $30/hr

Full-time

Re-posted 27 days ago

Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

90th of 281 rated insurance

Job description

Data Engineer Intern/Co-op

At Plymouth Rock, a fast-growing, analytics-driven insurer, we believe data science can redefine how insuranceoperates. AsaData Engineerinter/Co-op withour Enterprise Advanced Analytics team, youwill work witha team of top-tier data scientists to generate breakthrough insights that drive profitable growth, operational excellence, and competitive advantage. You willwork with the team to helparchitect and manage the data pipelines that connect internal systems, third-party sources, and advanced analytical platforms, directly enabling our most strategic research initiatives.

Responsibilities

  • Assistin modernizing legacy data pipelines into Python-based, cloud-native workflows using AWS Step Functions, AWS Glue, and S3.
  • Build and improve ingestion pipelines that move data from SQL Server and other on-prem + cloud sources into AWS (e.g., S3-backed data lake).
  • Improve pipeline performance, efficiency, and scalability (e.g., partitioning strategies, incremental loads, reduced runtime/cost).
  • Implement data quality checks and operational safeguards to support reliable, repeatable (idempotent) runs (e.g., validation rules, anomaly checks, retry-safe processing).
  • Contribute to reusable Python modules for ingestion, transformations, quality checks, logging, and alerting.
  • Partner with data scientists/ML engineers to prepare curated datasets for SageMaker training/inference workflows.
  • Document code, workflows, and runbooks; keep documentation current as pipelines evolve.

Qualifications

  • Currently pursuingorhave completedaMaster's in Computer Science, Information Systems, Data Engineering (or related).
  • Experience (projects, internships, or coursework) building Python + SQL data pipelines or data-intensive workflows.
  • Familiarity with AWS services commonly used in data platforms, including S3, Glue, Step Functions (hands-on experience preferred).
  • Experience working with SQL Server (or similar relational databases) and writing performant SQL.
  • Comfort with Linux and bash; able to debug jobs and inspect logs.
  • Familiarity with CI/CD, Git, and basic testing practices.
  • Exposure tohybrid connectivity patterns (e.g., VPN/Direct Connect, hosted agents, secure credential management) or tools for extracting from on-prem sources.
  • Familiarity with data lake formats and practices (Parquet, partitioning, schema evolution).
  • Exposure tomonitoring/alerting(CloudWatch, Datadog) and data quality frameworks/patterns.
  • Interest in ML data prep / feature pipelines for SageMaker.

Salary Range: $25/hr - $30/hr.Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

About the Company

The Plymouth Rock Company and its affiliated group of companies write and manage over$2 billionin personal and commercial auto and homeowner's insurance throughout the Northeast andmid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry.The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts.Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent"

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