Data Engineer (Calibrate Health)

Lviv - Ukraine

Monthly Salary: Not Disclosed

Posted on: 27-10-2025

Vacancies: 1 Vacancy

Job Summary

Would you like to create meaningful impact on peoples 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
17000 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 aSenior Data Engineerto 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 withPostgresRedshift andBigQuery
Strong background inAWS data services(S3 Lambda Glue Kinesis IAM) and/or equivalent GCP streaming and storage services
Proven hands-on experience withreal-time data pipelinesand event-driven architectures
Proficiency indbtFivetran and automated ELT/ETL pipeline development
Experience withdata warehousing transformation performance tuning and orchestration
Familiarity withLookerfor downstream analytics consumption
Understanding ofHIPAA 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 inRedshift and BigQueryfor 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 usingFivetran 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 ofcourse your benefits:

20fully paid business days ofvacation
15fully paid sick leaves
11fully paid public holidays
compensation for health insurance and sport club membership
ability to work from home or remotely

Would you like to create meaningful impact on peoples healthAbout CalibrateCalibrate 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 ...

15-19% average weight loss sustained over multiple years
17000 participants as of 2025
40% return rate for additional program cycles
$127M raised from Founders Fund Optum Ventures and other top investors

5 years of experience in data engineering or analytics engineering roles
Advanced expertise withPostgresRedshift andBigQuery
Strong background inAWS data services(S3 Lambda Glue Kinesis IAM) and/or equivalent GCP streaming and storage services
Proven hands-on experience withreal-time data pipelinesand event-driven architectures
Proficiency indbtFivetran and automated ELT/ETL pipeline development
Experience withdata warehousing transformation performance tuning and orchestration
Familiarity withLookerfor downstream analytics consumption
Understanding ofHIPAA 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 inRedshift and BigQueryfor 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 usingFivetran 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 ofcourse your benefits: