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

Manulife

Summer Intern 2027 - Data Engineering

Boston, MA · Hybrid

$52K - $70K/yr

As a Data Engineer Intern, you'll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You'll work with modern data tools and platforms ...

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Analogdevices

Manufacturing Engineer Intern

Chelmsford, MA · On-site

$17.50 - $22.50/hr

As a Manufacturing Intern at Analog Devices (ADI), you will join a team that isresponsible ... Perform data analysis to optimize processes, ensure Statistical Process Control (SPC), and improve ...

Analog Devices

Manufacturing Engineer Intern

Wilmington, MA · On-site

$18.25 - $23.75/hr

As a Manufacturing Intern at Analog Devices (ADI), you will join a team that is responsible for ... Perform data analysis to optimize processes, ensure Statistical Process Control (SPC), and improve ...

Analogdevices

Manufacturing Engineer Intern

Wilmington, MA · On-site

$18.25 - $23.75/hr

As a Manufacturing Intern at Analog Devices (ADI), you will join a team that isresponsible ... Perform data analysis to optimize processes, ensure Statistical Process Control (SPC), and improve ...

Audax Group

Data Engineer CO-OP

Boston, MA

$30 - $34/hr

CO-OP/Intern Cycle: January - June 2027 Anticipated Start & End Date: January 4, 2027 - June 25 ... Audax is looking for a dynamic, motivated Data Engineer CO-OP to join the business solutions team.

Audax Group

Data Engineer Co-Op

Boston, MA

$30 - $34/hr

CO-OP/Intern Cycle: January 2027 - June 2027 Anticipated Start & End Date: January 4, 2027 - June ... Audax is looking for a dynamic, motivated Data Engineer CO-OP to join the business solutions team.

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

Data Engineer Intern information

See Somerville, MA salary details

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How much do data engineer intern jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data engineer intern in Somerville, MA is $27.74, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $31.49 per hour, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a Data Engineer Intern?

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 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 are the most commonly searched types of Data Engineer jobs in Somerville, MA?

The most popular types of Data Engineer jobs in Somerville, MA are:

What are popular job titles related to Data Engineer Intern jobs in Somerville, MA?

For Data Engineer Intern jobs in Somerville, MA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Intern jobs in Somerville, MA look for?

The top searched job categories for Data Engineer Intern jobs in Somerville, MA are:

What cities near Somerville, MA are hiring for Data Engineer Intern jobs?

Cities near Somerville, MA with the most Data Engineer Intern job openings:

Data Engineer Intern jobs near you
Infographic showing various Data Engineer Intern job openings in Somerville, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,693 per year, or $27.7 per hour.

Data Engineer Intern/Co-op

Boston, MA

Plymouth Rock Assurance Corporation
Insurance Services • 1 - 5K employees

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

110th of 315 rated insurance

Good employer

Respectful managers

Good training

Learn more about Plymouth Rock Assurance Corporationexternal

$25 - $30/hr

Full-time

Re-posted 12 days ago

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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