Senior Data Engineer

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MDCalc

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2011

⚕️ Krankenversicherung

☁️ SaaS

📚 Bildung

Healthcare Insurance • SaaS • Education

MDCalc ist eine Online-Plattform zur klinischen Entscheidungsunterstützung und ein medizinischer Rechner, der von Millionen von Klinikern weltweit genutzt wird. Es bietet evidenzbasierte Rechner, klinische Bewertungssysteme, Risikoalgorithmen und richtlinienverknüpfte Tools (z. B. CHA₂DS₂-VASc, Wells-Kriterien, NIHSS, GFR-Gleichungen), um Diagnosen, Prognosen und Therapieentscheidungen am Ort der Versorgung zu unterstützen. Die Seite bietet auch Bildungsressourcen, CME und EHR/Integrationsanleitungen und betont, dass ihre Tools die klinische Beurteilung ergänzen, aber nicht ersetzen.

Beschreibung

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows that support analytics, operational reporting, and business intelligence use cases • Build programmatic data pipelines (primarily in Python) that extract data from application and third-party systems, transform it into usable formats, and deliver it to downstream data platforms and consumers • Own and improve core data models and transformations to ensure data is accurate, well-structured, and easy for stakeholders to use • Partner with Product, Engineering, and Analytics teams to understand data needs and translate them into reliable data solutions • Develop and maintain systems that move data across the platform, ensuring it is properly shaped, structured, and available for downstream analysis and product use cases • Help shape and maintain the architecture of MDCalc’s modern data stack, including warehousing, orchestration, transformation, and monitoring • Improve data quality, observability, and reliability through testing, validation, and proactive monitoring practices • Support the ingestion and integration of data from a variety of application, product, and third-party sources • Establish and reinforce best practices around data governance, documentation, naming conventions, and maintainability • Identify and drive opportunities to improve performance, scalability, and efficiency across our data systems • Design efficient data workflows that query, transform, and deliver datasets to downstream systems and stakeholders • Contribute to technical direction and architectural decisions as a senior member of the team • Serve as a thought partner to teammates and cross-functional stakeholders on how to best leverage data across the business

🎯 Anforderungen

• 5+ years experience in data engineering • Strong SQL skills and experience building and optimizing data models for analytical use cases • Experience building and maintaining reliable data pipelines in a modern cloud data environment • Strong proficiency in Python or a comparable programming language commonly used in data engineering • Experience building programmatic ETL/ELT pipelines using Python or similar tools to move and transform data across systems • Experience working with data warehouses such as Snowflake • Experience with transformation and orchestration tools such as dbt, Airflow, Dagster, or similar tools • Strong understanding of data architecture, data modeling, and pipeline design best practices • Ability to operate independently, prioritize effectively, and drive work forward in a fast-moving environment

🏖️ Vorteile

• Ability to make a true difference in medicine: MDCalc is the most broadly used medical reference used by 65% of physicians worldwide. • Medical, Dental, & Vision coverage, with option to extend to your dependents • Company-sponsored short-term insurance • Fully-paid 8 week parental leave, after 6 months of employment • Company-sponsored 401k, after 3 months of employment • Unlimited vacation for salaried roles - we trust you to take the time you need • Tri-annual company offsites to connect, reflect, and plan together • Work from home monthly stipend • Hybrid work environment with a great team office in Greenwich Village, NYC • A culture of fun and motivated team members who believe in a greater mission here at