Technology CPT Jobs in Massachusetts
Massachusetts is one of the strongest states for F-1 CPT technology jobs, with a concentration of employers in Greater Boston, Cambridge, and the Route 128 corridor. Companies like Amazon, Microsoft, IBM, and hundreds of startups in the Kendall Square ecosystem regularly work with CPT students from MIT, Northeastern, and Boston University for software engineering, data science, and systems roles.
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At Plymouth Rock, a fast-growing, analytics-driven insurer, we believe data science can redefine how insurance operates. As a Data Engineer Intern/Co-op 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/ML engineers to prepare curated datasets for SageMaker training/inference workflows.
- Document code, workflows, and runbooks; keep documentation current as pipelines evolve.
BASIC QUALIFICATIONS
- Currently pursuing or have completed a Master'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 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/alerting (CloudWatch, Datadog) and data quality frameworks/patterns.
- Interest in ML data prep / feature pipelines for SageMaker.
COMPENSATION
- 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 billion in personal and commercial auto and homeowner's 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 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”
INTRODUCTION
At Plymouth Rock, a fast-growing, analytics-driven insurer, we believe data science can redefine how insurance operates. As a Data Engineer Intern/Co-op 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/ML engineers to prepare curated datasets for SageMaker training/inference workflows.
- Document code, workflows, and runbooks; keep documentation current as pipelines evolve.
BASIC QUALIFICATIONS
- Currently pursuing or have completed a Master'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 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/alerting (CloudWatch, Datadog) and data quality frameworks/patterns.
- Interest in ML data prep / feature pipelines for SageMaker.
COMPENSATION
- 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 billion in personal and commercial auto and homeowner's 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 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”
CPT Technology Job Roles in Massachusetts
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Search Technology Jobs in MassachusettsTechnology CPT Sponsorship Jobs in Massachusetts: Frequently Asked Questions
Which technology companies sponsor F-1 CPT visas in Massachusetts?
Large employers like Amazon, Microsoft, IBM, and Raytheon Technologies have established CPT hiring programs in Massachusetts, particularly around Boston and Cambridge. Mid-size and growth-stage technology companies in the Kendall Square and Route 128 corridors also regularly work with CPT students. Startup activity in the state is high enough that many smaller firms are familiar with CPT authorization, though willingness to sponsor varies significantly by company.
Which cities in Massachusetts have the most technology F-1 CPT sponsorship jobs?
Boston and Cambridge account for the largest share of technology CPT roles in Massachusetts, driven by the density of universities and technology employers in those areas. Waltham, Burlington, and Woburn along the Route 128 corridor are also active hiring markets for software engineering and IT positions. Worcester has a smaller but growing technology sector, particularly tied to WPI and biotech-adjacent software roles.
What types of technology roles typically qualify for F-1 CPT sponsorship?
Roles most commonly filled through CPT in Massachusetts technology include software engineering internships, data science and machine learning positions, cybersecurity analyst roles, cloud infrastructure work, and QA engineering. The position needs to be directly related to your field of study as defined in your academic program. Your Designated School Official must authorize CPT before you begin work, and the role must align with what your university considers integral to your degree.
How do I find technology F-1 CPT sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international students and filters technology jobs in Massachusetts by visa type, including F-1 CPT. Rather than manually checking whether each employer works with CPT students, you can browse verified sponsoring employers directly on Migrate Mate. The platform covers roles across Greater Boston, Cambridge, and the Route 128 corridor, which are the primary hiring markets for CPT-eligible technology positions in the state.
Are there any Massachusetts-specific considerations for F-1 CPT in technology?
Massachusetts universities like Northeastern, MIT, and Boston University have strong co-op and internship infrastructure, meaning CPT processes at these schools are well established and employers in the area are generally familiar with the authorization requirements. However, CPT authorization timelines differ by school, and some employers require you to have CPT approved before extending an offer. Confirming your program's CPT eligibility window and your university's processing timeline before applying is advisable.