Data Engineer Intern - Start date May 2026
At Plymouth Rock, a fast-growing analytics-driven insurer, we believe data science can redefine how insurance operates. As a Data Engineer Intern with our Enterprise Advanced Analytics team, you will work with a team of top-tier data scientists to generate breakthrough insights that drive profitable growth, operational excellence, and competitive advantage. You will work with the team to help architect and manage the data pipelines that connect internal systems, third-party sources, and advanced analytical platforms directly enabling our most strategic research initiatives.
Responsibilities • Assist in 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 and ML engineers to prepare curated datasets for SageMaker training and inference workflows. • Document code workflows and runbooks, keep documentation current as pipelines evolve.
Qualifications Currently pursuing or have completed a Masters 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 CICD, Git, and basic testing practices. Exposure to hybrid 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 to monitoring and alerting, CloudWatch, Datadog, and data quality frameworks, patterns. Interest in ML data prep and feature pipelines for SageMaker.
Salary Range $25/hour - $30/hour. 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 billion in personal and commercial auto and homeowners insurance throughout the Northeast and mid-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 1900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of A-Excellent.