Principal Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the design and implementation of a high-scale data model and storage architecture independent of the legacy monolith.

• Influence decisions regarding service boundaries, data ownership, storage patterns, Medallion architecture, API contracts, and overall data strategy.

• Create real-time event-driven and streaming pipelines as well as traditional batch processing workflows.

• Write, deploy, and maintain high-quality production code in collaboration with Data Engineers.

• Model essential domains and apply fundamental engineering patterns.

• Ensure the accuracy and reliability of key business metrics, including collection rate, days in accounts receivable, and tracking of invoice balances.

• Design governance and validation frameworks to ensure consistent reporting and product data integrity.

• Establish data foundations that support Cedar’s AI-driven products and autonomous revenue cycle workflows.

• Create data models for new product lines within the revenue cycle.

• Provide mentorship to Data Engineers through code reviews, design assistance, and technical coaching.

• Facilitate technical alignment among data engineering, platform, and product teams.

• Prioritize tasks, resolve dependencies, and ensure successful delivery of customer-facing commitments.

⛳️ Requirements

• 10+ years of experience in data engineering and backend systems at scale.

• Proven track record of leading extensive technical projects and delivering production enterprise systems.

• In-depth hands-on expertise with Snowflake, Python, PySpark, SQL, Kafka, and dbt.

• Equivalent experience with Liquibase, Fivetran, Airflow, OpenMetadata, data lake patterns, streaming/event-driven architectures, change data capture, and real-time data processing.

• Experience in constructing production-grade ELT/ETL pipelines and managing complex data transformations in cloud-first environments.

• Background in building source-of-truth systems and ensuring data integrity.

• Familiarity with data validation, reconciliation, and troubleshooting discrepancies.

• Experience in developing data APIs, context systems, or feature stores for machine learning/AI applications.

• Ability to design for resilience, modularity, and backward compatibility.

• Capability to articulate technical risks and trade-offs in terms relevant to business.

• Experience utilizing AI developer tools like Claude Code and Codex, and directing AI agents for generating and testing solutions.

• Preferred expertise in the healthcare domain, particularly in revenue cycle management, billing, and insurance adjudication.

🏝️ Benefits

• Eligibility for equity.

• Competitive benefits and wellness package.

• Flexible work options, including remote and in-office opportunities.

• Unlimited paid time off for vacation, illness, and mental health days for exempt employees.

• Encouraged minimum of 20 vacation days annually.

• 16 weeks of paid parental leave with health benefits for all parents.

• Flexible re-entry schedules for those returning to work.

• Initiatives promoting diversity and employee resource groups.

• Comprehensive health benefits, including fertility and adoption assistance.

• 401(k) matching at 100% of contributions up to 3% of annual compensation.

• Hands-on mentorship opportunities.

• Coaching available for employees and management.

• Team discretionary budget for resources related to learning and development.

• Competitive salary.