Principal Data Engineer

Job not on LinkedIn

🕒 November 3

🇺🇸 United States – Remote

💵 $246.5k - $311.8k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 12 days.
• 12 open roles for a team of 11.

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Cedar

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🏠 Real Estate

💸 Finance

💳 Fintech

Real Estate • Finance • Fintech

Cedar is a technology platform and investor in land that purchases the land beneath homes to reduce upfront costs for homebuyers through a leasehold model, allowing buyers to own the structures while leasing the land and offering an option to buy the land later. The company partners with lenders and real estate agents, provides calculators and tools to show savings, and serves major U. S. markets to make homeownership more affordable by lowering down payments and monthly mortgage payments, improving mortgage approval odds, and offering stable, transparent ground rent with options to sell, transfer, or recombine the land and home.

📋 Description

• 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

• 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

• 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

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