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Intern Python Trainer Jobs in Massachusetts (NOW HIRING)

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Intern Python Trainer information

What is the difference between Intern Python Trainer vs Python Developer Intern?

AspectIntern Python TrainerPython Developer Intern
Required CredentialsBasic programming knowledge, training or teaching skillsProgramming skills, coding experience, possibly coursework or certifications
Work EnvironmentTraining sessions, workshops, educational settingsDevelopment teams, software projects, coding environments
Employer & Industry UsageEducational institutions, training companies, tech bootcampsTech companies, startups, software development firms
Search & Comparison IntentUnderstanding training roles, entry-level teaching positionsLearning coding, gaining development experience

Intern Python Trainers focus on teaching and training others in Python, often in educational or workshop settings, requiring basic programming and communication skills. Python Developer Interns work on actual coding projects within development teams, emphasizing hands-on programming experience. Both roles are entry-level but serve different career paths within the tech industry.

Intern Python Trainer jobs near you
Data Engineer Intern/Co-op

Data Engineer Intern/Co-op

Plymouth Rock Assurance Corporation

Boston, MA

$25 - $30/hr

Full-time

Re-posted 22 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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What Plymouth Rock Assurance employees say

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Hours and flexibility

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