Principal Data Engineer

The role

You will lead the transition to a new enterprise data platform and model. You will design high-scale data models, write production code, and ensure the reliability of core business metrics.

What you will do

• Lead the design and execution of a new, high-scale data model and storage architecture.
• Implement Medallion architecture and define API contracts.
• Write, ship, and maintain high-quality production code.
• Model critical domains and implement core patterns.
• Own the accuracy and reliability of core business metrics.
• Design governance and validation frameworks.
• Build data foundations that power AI-driven products.
• Design data models for new product lines.
• Act as a technical role model through code reviews and mentorship.
• Drive technical alignment across data engineering, platform, and product teams.

Required qualifications

• 10+ years of experience in data engineering and backend systems at scale.
• Experience leading large technical projects.
• Proficiency with Snowflake, Python, PySpark, SQL, Kafka, and dbt.
• Experience with Liquibase, Fivetran, Airflow, OpenMetadata, data lake patterns, streaming/event driven architectures, CDC (Change Data Capture), and real-time data processing.
• Experience building production-grade ELT/ETL pipelines.
• Experience building data APIs, context systems, or feature stores for ML/AI applications.
• Experience directing AI agents to generate solutions.
• Ability to translate complex technical risks into business-relevant terms.

Nice to have

• Healthcare Domain Expertise: understanding of revenue cycle management (RCM), billing, and insurance adjudication.

Benefits

• Competitive benefits and wellness package
• Flexibility to work from home or in the office
• Unlimited PTO for vacation, sick and mental health days
• 16 weeks paid parental leave with health benefits
• Flexible re-entry schedules for returning to work
• Diversity initiatives and employee resource groups
• Health benefits including fertility & adoption assistance
• 401(k) matching 100% up to 3% of annual compensation
• Hands-on mentorship, employee and management coaching
• Team discretionary budget for learning and development resources

Before you apply

• You will be tested on Snowflake, Python, PySpark, SQL, Kafka, and dbt during the interview process.

About the company

Cedar is a healthcare technology company that leverages data science and product design to make healthcare more affordable and accessible. It was co-founded in 2016 and partners with over 55 healthcare providers and payers.