Backend Data Engineer

Job Description

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking a Back-end Data Engineer with deep expertise in GCP, strong Python coding skills, and a security-first mindset. This role is critical in designing, implementing, and optimizing secure and scalable data pipelines to support AI-driven healthcare applications. The ideal candidate will have a strong background in cloud data architecture, big data processing, and compliance with healthcare security standards. Key Responsibilities: Data Pipeline Development & Optimization Design and develop scalable, secure, and high-performance data pipelines on GCP. Implement ETL/ELT workflows using tools like Dataflow and BigQuery. Optimize data processing for latency, cost-efficiency, and compliance with healthcare standards. Cloud Data Architecture & GCP Expertise Architect and manage data storage solutions (BigQuery, Cloud Storage, Spanner, Firestore) with a focus on security and performance. Leverage GCP-native services to build fault-tolerant, distributed data architectures. Implement data governance and access controls using IAM, VPC, and encryption best practices. Automation & Infrastructure as Code (IaC) Develop and maintain Infrastructure as Code (IaC) using Terraform, Deployment Manager, or CloudFormation. Automate data engineering workflows using Python, and CI/CD pipelines. Performance Monitoring & Optimization Implement logging, monitoring, and alerting using Cloud Logging, Cloud Monitoring, and other advanced techniques Continuously monitor and optimize data queries, storage utilization, and processing speed. Collaboration & Cross-Functional Integration Work closely with AI/ML engineers, full-stack engineers, quality engineering and data engineers to integrate AI-driven insights into healthcare applications. Provide expertise on data modeling, schema design, and efficient query execution. Skills & Experience: GCP Expertise: Deep experience with BigQuery, Dataflow, Cloud Composer (Airflow), Vertex AI, Pub/Sub, Cloud SQL, Spanner, and Firestore. Python Programming: Strong proficiency in Python for data processing, automation, and API development. Security-First Mindset: Hands-on experience with data encryption, access controls, and regulatory compliance. ETL/ELT & Data Pipelines: Expertise in building scalable and secure data processing pipelines. Monitoring & Optimization: Experience with Cloud Logging, Cloud Monitoring, and SQL performance tuning. Has worked across multiple tech-stacks, and thrived in collaborating with Data Science, Frontend/Applications and Infra teams. Strong knowledge of database technologies, both SQL and NoSQL and experience in optimizing database performance. 3 years of hands-on engineering experience, with demonstrated growth Has shown entrepreneurial spirit (e.g. worked at an early stage startup, or has started and delivered on a new product from the ground-up). Healthcare Industry Knowledge (Preferred): Familiarity with healthcare data standards (FHIR, HL7), compliance regulations, and PHI security best practices. Qualifications Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering, cloud architecture, and security-first data processing. GCP Certifications preferred (e.g., Professional Data Engineer, Professional Cloud Architect, Security Engineer). Experience working in healthcare AI, health tech startups, or enterprise healthcare IT environments is a plus. Strong portfolio of cloud-based data engineering projects demonstrating security best practices. Candidates located in Bangalore is a plus Candidates from top universities is a plus