Note: The job is a remote job and is open to candidates in USA. MDCalc is a leading medical reference used by over 65% of physicians worldwide, focusing on improving patient outcomes through evidence-based tools. They are seeking a Senior Data Engineer to design and maintain data infrastructure, ensuring reliable analytics and product insights while collaborating closely with product and business teams.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview