• Provide technical expertise and support for the data and information architecture requirements of the business • Develop and maintain information and data architecture strategies that align with organizational goals • Apply meta data models, taxonomies, and ontologies to strengthen business and IT capabilities • Define data classifications and zoning standards to improve governance and asset management • Document and categorize information across IT portfolios to ensure accuracy and compliance • Support enterprise information initiatives including master data management, metadata, analytics, content management, and data integration

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The RoleCedar’s Data & Integration Platforms organization builds the data infrastructure, pipelines and tooling that power our products, analytics, and financial operations. We are looking for a Senior Data Engineer to help evolve our data ecosystem from homegrown ETL scripts to a modern, scalable stack built on tools like dbt, Airflow and Snowflake. You will design and own critical data pipelines (e.g., client billing, product analytics, and platform data services), improve data quality and observability, and help define patterns and standards for how Cedar builds and operates data products. This is a high-impact individual contributor role with significant autonomy, technical ownership, and cross-functional exposure. What You’ll Do - Design, build, and own scalable ELT/ETL pipelines that power core use cases including client billing, financial reporting, product analytics and data services for downstream teams (Finance, Data Science, Commercial Analytics, Product). - Modernize legacy data flows by migrating SQL- and Liquibase-based transformations into dbt, with robust testing, documentation and data contracts. - Improve reliability and observability of our data platform by implementing best practices in testing, monitoring, alerting and runbook-driven operations for pipelines orchestrated via Airflow (and/or similar tools). - Model data for usability and performance in Snowflake and other systems, applying dimensional and domain-driven design patterns where appropriate (e.g., for analytics core models and financial engineering services). - Partner closely with product, finance, analytics and integrations teams to understand requirements, define interfaces, and ensure data is accurate, well-documented, and delivered in the right form and cadence for consumers. - Contribute to Cedar’s data platform vision by helping decouple data infrastructure from data services, establishing standards for governance, metadata, and access, and piloting tools like OpenMetadata and data quality frameworks. - Provide technical mentorship to other engineers, upleveling our data engineering practices in areas like code quality, reviews, architecture, and operational excellence. - Balance short-term delivery with long-term architecture, making pragmatic trade-offs while moving us toward a clear “North Star” data platform that supports emerging use cases like AI/ML, personalization and experimentation. About You - 5+ years of hands-on data engineering (or closely related software engineering) experience, including ownership of production data pipelines and systems at scale. - Strong SQL and Python proficiency, with experience building data transformations, utilities and tooling (e.g., dbt models, Airflow DAGs, internal libraries). - Deep experience with modern data stack tools, including several of: Snowflake (or similar cloud data warehouse), dbt, Airflow/Dagster (or similar orchestrator). - Proven track record designing and operating reliable pipelines, including testing strategies (unit/integration/dbt tests), monitoring, alerting, and incident/root-cause analysis for data issues. - Experience with data modeling and schema design for analytics, reporting and operational use cases (e.g., dimensional models, entity-centric designs, or medallion-style architectures). - Familiarity with cloud platforms, ideally AWS (e.g., use of S3, IAM, containerized workloads, or related infrastructure supporting data workloads). - Strong collaboration and communication skills, with the ability to translate ambiguous business problems into clear technical requirements and to work effectively with partners across engineering, product and business teams. - High ownership and bias to action in complex, evolving environments—comfortable operating with partial information, making trade-offs explicit, and driving work to completion. Bonus Points - Experience with metadata and data governance tools, such as OpenMetadata, DataHub or similar catalogs, and implementing data contracts or quality frameworks (e.g., Great Expectations, dbt tests). - Exposure to streaming and event-driven data pipelines (e.g., Kafka, CDC tools) and integrating those into warehouse-centric architectures. - Prior experience in healthcare, fintech, or other highly regulated domains, particularly with standards like HL7 or FHIR, or with complex billing/financial data flows. - Familiarity with analytics and visualization tools (e.g., Looker, Hex) and enabling self-serve analytics through well-designed semantic layers and models. - Experience helping define team-level standards, patterns, and roadmaps for data engineering or platform teams. Compensation Range and Benefits: - Salary Range*: $195,500 - $247,250 - This role is equity eligible - This role offers a competitive benefits and wellness package *Subject to location, experience, and education #LI-REMOTE #LI-DS1 What do we offer to the ideal candidate? - A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per year - Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you - For exempt employees: Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge - 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work - Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) - Competitive pay, equity (for qualifying roles), and health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month) - Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation - Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally About us Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. "Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 26 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.

Where You’ll Work Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation’s largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system. Job Summary and Responsibilities As an SSRM (Strategic Sourcing & Resource Management) Data Analyticse Engineer, you will provide critical support and expert insights, transforming complex procurement and resource data into actionable intelligence to drive strategic decision-making and optimize operational efficiency.Every day you will expertly collect, analyze, and interpret large datasets related to sourcing, contracts, and resource utilization, identify trends and cost-saving opportunities, develop comprehensive reports and dashboards, and meticulously present findings to inform strategic sourcing initiatives.To be successful, you will demonstrate outstanding analytical capabilities, strong statistical and data visualization skills, and a meticulous, inquisitive demeanor, contributing significantly to cost optimization, supplier performance improvement, and effective resource management. - Develops analytic models to provide insight to supply chain contracting, savings opportunities and strategy development. - Develop prototype analytics into mature production applications, with good reliability and support in changing conditions. Recommend improvements and manage the backlog and release schedule. - Craft code that meets internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. - Apply software engineering best practices, such as version control, testing and continuous integrations, to analytics code. - Deliver well-defined, transformed, tested, documented, and code-reviewed data sets. - Provide clean transformed data ready for analysis. Job Requirements Required - Bachelors Other (BA/BS) in related field from four year college or university or An equivalent combination of education and experience may be considered, upon hire - 10 years of demonstrated analytical experience Preferred - Masters Other or Post Graduate Degree in a related field (e.g., MBA) and Healthcare and supply chain experience, upon hire

• Você fará parte do time de Data Platform, dentro da tribo de Data & Analytics da RD Station, que tem como missão democratizar o uso de dados e transformá-los em um diferencial competitivo para nossos clientes. • Estamos evoluindo nosso Framework de IA, criando uma infraestrutura padronizada (Paved Path) que permita aos times de Machine Learning desenvolver e colocar modelos em produção com mais velocidade, confiabilidade e governança. • Seu desafio será atuar na construção e evolução dessa plataforma, garantindo escalabilidade, padronização e qualidade nas soluções de dados e IA. • Desenvolver e evoluir pipelines de dados e IA de forma escalável e padronizada; • Projetar e implementar soluções de engenharia de dados em ambiente cloud (Google Cloud Platform); • Construir componentes reutilizáveis, como frameworks, operadores e templates; • Garantir boas práticas de engenharia, incluindo testes automatizados, versionamento e CI/CD; • Integrar serviços da plataforma (BigQuery, Cloud Storage, Vertex AI, entre outros); • Contribuir com decisões arquiteturais considerando performance, custo e governança; • Colaborar com times de dados, engenharia e IA para garantir alinhamento técnico e de negócio.