Full-Time
Data Engineer
Posted on 1/19/2026
Dozee
201-500 employees
Contactless AI-powered hospital patient monitoring
No salary listed
Bengaluru, Karnataka, India
In Person
 Data & Analytics (1) |
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- 3–6 years of relevant experience in Data Engineering or related roles.
- Proficiency in building ETL/ELT pipelines using tools such as Apache Spark, Apache Airflow, Kafka, or similar.
- Strong programming skills in Python (preferred), Scala, or Java.
- Experience working with time-series data and large-scale distributed data systems.
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure (preferred AWS).
- Strong SQL skills and experience with modern data warehouses like Snowflake, BigQuery, or Redshift.
- Experience working with structured and unstructured data across different storage formats (Parquet, Avro, JSON).
- Understanding of data modeling, schema design, and performance tuning for analytical workloads.
- Familiarity with version control (Git), CI/CD practices, and containerization (Docker/Kubernetes).
- Design, build, and maintain scalable, reliable, and secure data pipelines for high-velocity time-series healthcare data.
- Work with cross-functional teams (Data Science, Product, and Clinical) to understand data requirements and translate them into engineering solutions.
- Manage and optimize batch and real-time data ingestion and processing using modern data engineering tools.
- Develop and maintain data models, databases, and data lakes to support analytics, reporting, and machine learning workflows.
- Implement monitoring, alerting, and observability systems to ensure data quality and pipeline uptime.
- Collaborate with DevOps and ML Ops to deploy and monitor data services in production environments.
- Ensure compliance with healthcare data security and privacy standards (e.g., HIPAA, SOC2, ISO27001).
- Proactively identify performance bottlenecks and lead the effort to resolve them.
- Experience working in a healthcare, biomedical, or IoT environment.
- Familiarity with FHIR, HL7, or other healthcare data standards.
- Exposure to ML pipelines and working knowledge of TensorFlow Extended (TFX) or MLflow.
- Experience with data observability tools like Great Expectations, Monte Carlo, or OpenLineage.
- Knowledge of data governance, lineage, and compliance frameworks (e.g., HIPAA, GDPR, ISO13485).
- Prior experience collaborating with Data Science teams to deploy ML models into production.
Dozee provides remote patient monitoring with a contactless AI-powered system that tracks vital signs such as heart rate, respiration, sleep patterns, and stress without contacting the patient. A non-contact sensor gathers data in the patient’s environment, and AI analyzes it to deliver real-time health insights and early warnings of potential issues. It is designed to be integrated into hospitals for continuous, non-intrusive monitoring and to support clinical decisions, forming a hospital-to-home continuum of care. Its differentiator is the focus on passively collected, sleep-oriented data and AI-driven alerts to detect deterioration earlier than some invasive or manual monitoring methods. Goal: improve patient outcomes by enabling continuous observation and proactive care.
Company Size
201-500
Company Stage
Early VC
Total Funding
$30.9M
Headquarters
Bengaluru, India
Founded
2015
Simplify's Take
What believers are saying
- Deployed in 300+ hospitals across India, USA, Tanzania, UAE.
- Raised $8.3M from Temasek Trust and Stockhausen for expansion.
- Achieved 80% fewer Code Blues at Apollo Hospitals.
What critics are saying
- Masimo's FDA-cleared Radius PPG erodes contracts in 6-12 months.
- EarlySense's 2,000+ US beds capture share in 12-18 months.
- ABDM mandates exclude proprietary cloud by mid-2026.
What makes Dozee unique
- Dozee uses BCG sensor sheet under mattress for contactless vital monitoring.
- AI-powered Early Warning System detects deterioration hours early.
- Pro Ex enables seamless monitoring continuum from hospital to home.
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Benefits
Flexible Work Hours
Remote Work Options
Professional Development Budget
Wellness Program
Mental Health Support
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 3%KIMS Sunshine Begumpet launches ai-powered Smart Wards. KIMS Sunshine Hospitals, Begumpet, has launched its 'Enhanced Patient Safety with Smart Wards' program in partnership with Dozee, a global pioneer in AI-powered Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). This initiative represents a major leap in hospital care, bringing AI-enabled continuous monitoring beyond ICUs into general wards. The Smart Ward Program aims to enhance patient safety, clinical vigilance, and operational efficiency across KIMS Sunshine Hospitals. AI-Powered Smart Wards for continuous monitoring. Under this program, selected wards are equipped with Dozee's patented contactless RPM and EWS technology. The system tracks key vitals - heart rate, respiratory rate, blood pressure, SpO[2], and temperature - through a thin sensor placed beneath the mattress. Its AI engine analyzes the data in real time, generating early warning alerts that notify clinicians hours before visible signs of patient deterioration. As a result, medical teams can respond faster, reduce preventable complications, and save more lives. KIMS Sunshine strengthens its digital transformation. Mr. Sudhaker Jadhav, Chief Operating Officer, KIMS Sunshine Hospitals, said, "Our mission is to make world-class healthcare accessible and efficient. The Smart Ward Program sets a new benchmark for safety and responsiveness. This is not just about adopting technology - it's about creating a smarter, safer healthcare ecosystem where every patient receives ICU-level vigilance." The initiative is part of KIMS Sunshine's broader digital transformation strategy, reinforcing the group's position as a leader in AI-enabled healthcare delivery in India. Patient deterioration often occurs silently. Continuous monitoring helps Hybiz TV LLP detect small changes before they turn into emergencies. With Dozee's AI, Hybiz TV LLP can intervene earlier, reduce Code Blue events, and improve patient outcomes." Currently, Dozee's AI technology is deployed across 300+ hospitals in India, the USA, Tanzania, and the UAE, establishing it as a global leader in smart healthcare infrastructure. Bridging a critical healthcare gap. By introducing continuous monitoring in general wards, KIMS Sunshine addresses one of healthcare's biggest challenges - missed early warning signs. Moreover, studies show that many cardiac arrests and ICU transfers start in wards without constant monitoring. Therefore, this program serves as a scalable model for improving outcomes and optimizing staff resources, especially in high-patient-load hospitals.
Healthtech startup Dozee raised $8.3 million in a mix of equity and debt to accelerate global expansion and enhance R&D for patient care monitoring. The funding round included Temasek Trust’s C3H and Stockhausen International. Dozee's net loss narrowed 19% YoY to ₹68 crore in FY24, while operating revenue increased 148% YoY to ₹5.2 crore. The startup aims to achieve profitability in India and expand internationally, despite previously laying off 40 employees to reduce losses.
Most recently, Dozee launched 'Shravan', a clinical-grade AI-powered RPM service offering continuous, contactless monitoring of vital signs such as heart rate, respiration, blood pressure, and sleep patterns.
Dozee, India's first contactless AI-based Early Warning System (EWS) and Remote Patient Monitoring (RPM) system, has recently introduced a groundbreaking Fall Prevention Alert (FPA) feature aimed at transforming patient safety in hospitals.
Dozee unveils Fall Prevention Alert feature for enhanced patient safety.