Senior Data Engineer

The role

The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS. This role supports AI and Analytics teams by managing ingestions, transformations, and storage patterns.

What you will do

• Design, implement, and maintain scalable, fully serverless data pipelines on AWS.
• Build and evolve data models and schemas for AI, Analytics and engineering teams.
• Develop ETL/ELT workflows to ingest, cleanse, transform, and load data.
• Partner with Product, Underwriting, Analytics, and AI stakeholders.
• Implement data quality controls, monitoring, and alerting.
• Optimize serverless workloads for cost, performance, and scalability.
• Contribute to and enforce data engineering best practices.
• Collaborate with AI and Analytics teams to design and maintain feature stores.
• Troubleshoot pipeline issues and resolve data-related incidents.
• Document data models, pipelines, and data contracts.

Required qualifications

• Strong experience with AWS data and serverless services (Lambda, Glue, Athena, S3, Step Functions or similar).
• Advanced proficiency in Python.
• Advanced proficiency in SQL.
• Experience in relational and NoSQL databases.
• Experience in building reusable ETL/ELT libraries.
• TypeScript experience for AWS CDK required.
• Experience with MLOps practices.
• Solid understanding of data modeling principles for AI workloads.
• Experience designing and operating data pipelines at scale.
• Hands-on experience with Infrastructure as Code.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience.
• 5+ years in data engineering or a related role.

Nice to have

• Hands-on experience with PySpark for distributed data processing
• Hands-on experience with Kafka
• Kedro or similar workflow experience
• Regulated-domain experience, preferably healthcare claims or insurance
• Master's degree
• Hands-on ML/AI experience supporting feature preparation, model training, deployment, or monitoring
• Experience with AWS data services in a production environment

Benefits

• Fully paid medical, dental, and vision benefits
• Flexible PTO
• 401k company contribution
• Tuition reimbursement
• Professional development allowance
• Transportation allowance and daily parking reimbursement

Before you apply

• ParetoHealth does not provide employment visa sponsorship for this position.
• Candidates must be authorized to work in the United States without sponsorship both now or in the future.

About the company

ParetoHealth is the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, the company helps small and midsize employers manage healthcare costs through a data-driven model.