Would you like to create meaningful impact on people’s health?
About Calibrate Calibrate is a health tech company revolutionizing metabolic health through our digital platform. Founded in 2020 in New York, we combine FDA-approved GLP-1 medications with AI-driven coaching and lifestyle support to deliver sustainable weight loss results.
Our Impact * 15-19% average weight loss sustained over multiple years * 17,000+ participants as of 2025 * 40% return rate for additional program cycles * $127M+ raised from Founders Fund, Optum Ventures, and other top investors
A rapidly scaling health technology platform focused on delivering personalized metabolic outcomes is seeking a Middle Data Engineer to build and optimize secure, compliant, and scalable data infrastructure. The role spans both batch and real-time data processing across AWS and GCP environments to power analytics, personalization, and operational decision-making in a regulated (HIPAA) context.
Key skills and experience * 5+ years of experience in data engineering or analytics engineering roles * Advanced expertise with Postgres, Redshift, and BigQuery * Strong background in AWS data services (S3, Lambda, Glue, Kinesis, IAM) and/or equivalent GCP streaming and storage services * Proven hands-on experience with real-time data pipelines and event-driven architectures * Proficiency in dbt, Fivetran, and automated ELT/ETL pipeline development * Experience with data warehousing, transformation, performance tuning, and orchestration * Familiarity with Looker for downstream analytics consumption * Understanding of HIPAA compliance, data privacy standards, and best practices for securing Protected Health Information (PHI)
Primary responsibilities * Design and build real-time and batch data pipelines for ingestion, transformation, and delivery across cloud platforms * Develop and maintain scalable data models in Redshift and BigQuery for analytical, operational, and ML workloads * Implement HIPAA-compliant data flows with role-based access control, encryption, and monitoring * Optimize data architecture for performance, cost, and reliability in compliance with regulatory requirements * Integrate internal and third-party data sources using Fivetran, streaming services, and cloud-native tooling * Collaborate with analytics, product, and engineering teams to provide trusted, secure data for insights and personalization * Enable real-time decision-making capabilities through event-driven architectures and streaming analytics pipelines
..and of course, your benefits: * 20 fully paid business days of vacation * 15 fully paid sick leaves * 11+ fully paid public holidays * compensation for health insurance and sport club membership * ability to work from home or remotely
