Senior Data Engineer: Cloud Pipelines & AI-Driven Analytics

Plymouth Rock Assurance; Boston (MA); On-site; USD 134,000 - 187,000; Full time

Benefits offered by this job

4 weeks paid time off + 10 holidays

Free onsite gym at our Boston Location

Tuition Reimbursement

Health insurance from Day 1

Wellness program and fitness reimburse

Auto and home insurance discounts

401(k) with employer contribution

Paid family leave

Professional development support

Pre-Tax Commuter Benefits

Job summary

Plymouth Rock Assurance in Boston seeks a Senior Data Engineer on the Enterprise Data team to design, build, and manage data pipelines that power analytics across autos and homeowners lines. This hands-on leadership role partners with data science, IT, and business units to enable cloud-based architectures and ML workflow orchestration.

You will own end-to-end data infrastructure, promote CI/CD pipelines, and mentor a team of data engineers while shaping Plymouth Rock's data strategy and

Qualifications

• A master's degree in computer science, Information Systems or related field.
• 5+ years of related data/data platform or machine learning engineering experience with a focus on designing, building, and deploying automated pipelines and workflows.
• Experience in building automated deployment pipelines and CI/CD workflows using Jenkins, GitHub Actions, Terraform, CloudFormation or similar tools.
• Experience automating workflows using AWS cloud services (Lambdas, ECS, S3, Step Functions, Event bridge etc)
• Experience with data modeling and data warehousing.
• Experience with cloud data platforms, Snowflake (preferable), AWS.
• Knowledge of data engineering and machine learning concepts, ETL/ELT, data lakes, data quality metrics
• Strong communication and collaboration skills, with a track record of working effectively across technical and business teams.
• Curiosity and commitment to continuous learning in emerging data engineering tools, platforms, and best practices.

Responsibilities

• Serve as the hands‑on leader of data engineering for the Enterprise Advanced Analytics team-designing, building, and optimizing data pipelines and workflows to empower advanced research and analytics.
• Collaborate with key leaders across Data Science, IT and Business to automate and empower data and machine learning automation across our Personal Auto and Homeowner insurance business units.
• Partner with IT on the transition to a cloud‑based AWS data lake-championing new architectures and ways of working that harness cutting‑edge technologies and unlock new analytical capabilities.
• Create and manage data infrastructure to design, develop, and enhance data and analytics solutions and pipelines, enabling data‑driven decision‑making processes.
• Design and implement automated pipelines for data and machine learning workflows and infrastructure with testing, versioning, and rollback capabilities.
• Designing and building reusable processes and templates for packaging, testing, and deployment of internal python libraries, containers and data pipelines and machine learning workflows.
• Stay current with industry trends and best practices in data and machine learning engineering and recommend improvements to existing processes.
• Play a pivotal role in shaping the future of Plymouth Rock's data science and advanced analytics strategy while growing your career in a dynamic, innovation‑driven environment.

Skills

Python

SQL

Data engineering

AWS

Docker

CI/CD

Data modeling

Data warehousing

Tableau

Machine learning

Education

Master's degree in Computer Science or related field

Tools

Jenkins

GitHub Actions

Terraform

CloudFormation

AWS Lambda

ECS

Snowflake

Docker

Job description

Plymouth Rock Assurance in Boston seeks a Senior Data Engineer on the Enterprise Data team to design, build, and manage data pipelines that power analytics across autos and homeowners lines. This hands-on leadership role partners with data science, IT, and business units to enable cloud-based architectures and ML workflow orchestration.

You will own end-to-end data infrastructure, promote CI/CD pipelines, and mentor a team of data engineers while shaping Plymouth Rock's data strategy and