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About the Role
As the Data Engineer on the Enterprise Advanced Analytics team at Plymouth Rock, you will be instrumental in redefining insurance operations through data engineering. This role is crucial for empowering data scientists to generate insights that drive profitable growth and operational excellence. You will architect and manage data pipelines, enabling strategic research initiatives and shaping how the company leverages cloud platforms and machine learning for innovation.
Responsibilities
- Serve as the subject matter expert of data engineering for the Enterprise Advanced Analytics team, designing, building, and optimizing data pipelines and workflows.
- Collaborate with stakeholders across Data Science, IT, and Business to automate data and machine learning across Personal Auto and Homeowner insurance units.
- Develop and enforce data governance and security protocols to uphold data quality and regulatory compliance.
- Partner with IT on the transition to a cloud-based AWS data lake, championing new architectures and ways of working.
- Create and manage data infrastructure to design, develop, and enhance data and analytics solutions and pipelines.
- Design and implement automated pipelines for data and machine learning workflows with testing, versioning, and rollback capabilities.
- Design and build reusable processes and templates for packaging, testing, and deployment of internal python libraries, containers, and data pipelines.
- Stay current with industry trends and best practices in data and machine learning engineering and recommend improvements.
- Apply Python and SageMaker for advanced analytics, machine learning initiatives, and data science projects.
- Ensure data is secure and access-controlled using AWS security and governance tools (IAM, KMS, Lake Formation permissions, VPC design).
- Shape the future of Plymouth Rock’s data science and advanced analytics strategy.
Requirements
- Proven experience working with Snowflake, DBT, Fivetran, AWS Glue, Python, SageMaker, DB2, SQL Server, and Informatica technologies in a data engineering or analytics role with 5-6 years of experience.
- 3+ 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 Docker, Padman and other containerization tools.
- Expert in Python, proficient in SQL.
- Experience with data modeling and data warehousing.
- Experience with cloud data platforms, Snowflake (preferable), AWS.
- A design thinking and test-driven development mindset.
- Experience with business intelligence tools and reporting solutions (Tableau etc.).
- Knowledge of python packaging and distribution tools such as pip, poetry, setup tools, twine, etc.
- 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.
Skills
- Python
- SageMaker
- Snowflake
- DBT
- Fivetran
- AWS Glue
- DB2
- SQL Server
- Informatica
- SQL
- R
- SAS
- Jenkins
- GitHub Actions
- Terraform
- CloudFormation
- AWS Lambda
- AWS ECS
- AWS S3
- AWS Step Functions
- AWS Event bridge
- Docker
- Padman
- Data Modeling
- Data Warehousing
- AWS
- Tableau
- pip
- poetry
- setup tools
- twine
- ETL/ELT
- Data Lakes
- Data Quality Metrics
- IAM
- KMS
- Lake Formation
- VPC Design
Location
- Boston, Massachusetts
Work Type
- Onsite
Experience Level
- 5-6 years of experience
- 3+ years of related data/data platform or machine learning engineering experience
Education Level
- Bachelor’s degree in computer science, Information Systems or related field.
Salary/Compensations
- $98,000 to $142,000 annually
Benefits
- 4 weeks accrued paid time off + 10 paid national holidays per year
- Free onsite gym at our Boston Location
- Tuition Reimbursement
- Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)
- Robust health and wellness program and fitness reimbursements
- Auto and home insurance discounts
- Matching gift opportunities
- Annual 401(k) Employer Contribution (up to 7.5% of your base salary)
- Various Paid Family leave options including Paid Parental Leave
- Resources to promote Professional Development (LinkedIn Learning and licensure assistance)
- Convenient location directly across from South Station and Pre-Tax Commuter Benefits
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.
- They have built an unparalleled reputation for service.
- The company continuously invests in technology, employees thrive in an empowering environment, and 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”.