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

Emerson College

Campus Planning Intern

Boston, MA · On-site

$17 - $21.75/hr

... model database to assure accurate physical space measurement and use data. * Provide assistance ... Working towards a Bachelor's degree in architecture, engineering, facilities management, urban ...

Emerson College

Campus Planning Intern

Boston, MA

$25/hr

... model database to assure accurate physical space measurement and use data. * Provide assistance ... Working towards a Bachelor's degree in architecture, engineering, facilities management, urban ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues ... It's built to grow: the Data Operations Engineering track is expected to scale from one person ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues ... It's built to grow: the Data Operations Engineering track is expected to scale from one person ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues ... It's built to grow: the Data Operations Engineering track is expected to scale from one person ...

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Database Engineer Intern information

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How much do database engineer intern jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for database engineer intern in Somerville, MA is $18.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $21.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a database engineer intern?

To thrive as a Database Engineer Intern, you need a solid understanding of database concepts, proficiency in SQL, and familiarity with relational and/or NoSQL databases, often supported by coursework in computer science or information technology. Experience with tools like MySQL, PostgreSQL, MongoDB, and basic knowledge of cloud platforms or data modeling tools is typically expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in collaborative and learning-focused environments. These skills are crucial for ensuring data integrity, optimizing database performance, and contributing effectively to team projects.

What does a database engineer intern do?

A Database Engineer Intern typically assists in designing, implementing, and maintaining database systems under the guidance of senior engineers. Their responsibilities may include writing and optimizing SQL queries, helping with data modeling, ensuring data integrity, and supporting database backup and recovery. Interns often work with teams to learn best practices for database performance and security. This role provides hands-on experience with database technologies and helps interns gain practical skills relevant to a career in database engineering.
Database Engineer Intern jobs near you
Infographic showing various Database Engineer Intern job openings in Somerville, MA as of July 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $38,670 per year, or $18.6 per hour.

Data Engineer Intern/Co-op

Plymouth Rock Assurance Corporation

Boston, MA

$25 - $30/hr

Full-time

Re-posted 16 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

105th of 301 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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