Senior Data Engineer

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MDCalc

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2011

⚕️ Healthcare Insurance

☁️ SaaS

📚 Education

Healthcare Insurance • SaaS • Education

MDCalc is a widely used tool that provides a comprehensive suite of medical calculators for clinicians. It helps healthcare professionals make informed decisions by offering calculations for a variety of health assessments and treatment strategies, covering areas such as cardiac risk, pulmonary embolism, liver fibrosis, and more. MDCalc is used by millions of clinicians across the globe to aid in treating hundreds of millions of patients, ensuring calculations are re-checked and not used as a sole guide for patient care. The platform also offers educational resources and integrates with electronic health records.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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