Hiring: Data Engineer Company: Plymouth Rock Assurance Location: Greater Boston Job Posted Time: 2026-09-10 11:03:40 Employment Type: On-site Target Skills & Keywords : AWS, CI/CD, CloudFormation, Data Lake, Data Pipeline, Docker, ECS, ELT, ETL, Fivetran, GitHub Actions, IAM, Informatica, Jenkins, Machine Learning, Pip, Poetry, Python, Regulatory Compliance, S3, SQL, SQL Server, SageMaker, Snowflake, Step Functions, Terraform, VPC, dbt About the job Experience: •5-6 years of experience. •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. Required Skills: •Serve as the subject matter expert of data engineering for the Enterprise Advanced Analytics team—designing, building, and optimizing data pipelines and workflows to empower advanced research and analytics. •Partner cross-functionally with key stakeholders across Data Science, IT and Business to automate and empower data and machine learning automation across our Personal Auto and Homeowner insurance business 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 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. Qualifications: •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. •A bachelor’s degree in computer science, Information Systems or related field. •Expert in Python, proficient in SQL, additional R and SAS knowledge and a bonus for legacy code. •A design thinking and test-driven development mindset. •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. Compensation: •4 weeks accrued paid time off + 10 paid national holidays per year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!