Principal Data Engineer

Cedar

. Lead the design and execution of a high-scale data model and storage architecture outside the legacy monolith .

Posted 11/3/2026full-timeRemote • United StatesLead💰 $246,500 - $311,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data engineering, focusing on building scalable data models and storage architectures. Proficient in developing real-time data processing pipelines and ensuring data accuracy within the healthcare revenue cycle management domain.

Highest-signal resume keywords

Data EngineeringSnowflakePythonReal-Time Data ProcessingHealthcare Revenue Cycle Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingProduction Code DevelopmentData ValidationELT/ETL Pipeline BuildingData API DevelopmentStreaming/Event-Driven ArchitecturesComplex Data TransformationsTechnical Project LeadershipData Governance FrameworksData Ownership

Soft Skills

MentoringTechnical CoachingCross-Team CollaborationPrioritizationProblem-Solving

Tools & Technologies

PySparkSQLKafkaDbtLiquibaseFivetranAirflowOpenMetadataClaude CodeCodex

Industry Keywords

Revenue Cycle ManagementBillingInsurance AdjudicationData Lake PatternsCDC

Tech Stack

Tools & technologies

AirflowCloudETLKafkaPySparkPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead the design and execution of a high-scale data model and storage architecture outside the legacy monolith
Drive decisions on service boundaries, data ownership, storage patterns, Medallion architecture, API contracts, and data strategy
Develop real-time event-driven and streaming pipelines alongside traditional batch processing flows
Write, ship, and maintain high-quality production code with Data Engineers
Model critical domains and implement core engineering patterns
Own the accuracy and reliability of core business metrics, including collection rate, days in AR, and invoice balance tracking
Design governance and validation frameworks for consistent reporting and product data
Build data foundations powering Cedar’s AI-driven products and autonomous revenue cycle workflows
Design data models for new product lines across the revenue cycle
Mentor Data Engineers through code reviews, design guidance, and technical coaching
Drive technical alignment across data engineering, platform, and product teams
Set priorities, unblock dependencies, and ensure delivery against customer-facing commitments

Requirements

What you’ll need

10+ years of experience in data engineering and backend systems at scale
Experience leading large technical projects and shipping production enterprise systems
Deep hands-on proficiency with Snowflake, Python, PySpark, SQL, Kafka, and dbt
Equivalent experience with Liquibase, Fivetran, Airflow, OpenMetadata, data lake patterns, streaming/event-driven architectures, CDC, and real-time data processing
Experience building production-grade ELT/ETL pipelines and managing complex data transformations in cloud-first environments
Experience building source-of-truth systems and ensuring data accuracy
Experience with data validation, reconciliation, and diagnosing discrepancies
Experience building data APIs, context systems, or feature stores for ML/AI applications
Ability to design for resilience, modularity, and backward compatibility
Ability to translate technical risks and trade-offs into business-relevant terms
Experience using AI developer tools such as Claude Code and Codex and directing AI agents to generate and test solutions
Healthcare domain expertise in revenue cycle management, billing, and insurance adjudication preferred

Benefits

Comp & perks

Equity eligibility
Competitive benefits and wellness package
Flexible work from home or in the office
Unlimited PTO for vacation, sick, and mental health days for exempt employees
Encouraged minimum of 20 vacation days per year
16 weeks paid parental leave with health benefits for all parents
Flexible re-entry schedules for returning to work
Diversity initiatives and employee resource groups
Health benefits including fertility and adoption assistance
401(k) matching: 100% of contributions up to 3% of annual compensation
Hands-on mentorship
Employee and management coaching
Team discretionary budget for learning and development resources
Competitive pay