Senior Engineer, Data Engineering

Work Mode: Monday to Friday | On-site
#Compensation: ₹15-20 LPA (negotiable based on experience)
#Experience Level: 3+ years

#Lenity Health is a venture-backed, early stage startup with a deep subject matter expertise in US healthcare, redefining healthcare technology with AI at its core. We aim to coordinate care for all seniors in the United States, using AI agents and data driven care management tools.
As Data Engineer, you will lead the technical vision and implementation of Lenity’s data platform for one of its customers. You’ll architect and scale the cloud data infrastructure, build robust data pipelines, and ensure high-quality, compliant, and actionable data across all lines of business—clinical, operational, and financial.
You’ll work closely with the leadership, analysts, clinicians, and product teams to deliver trusted data products that power decisions across the organization. Architect, build, and optimize Azure-based data platform, integrating data across EHRs, claims systems, and third-party healthcare APIs.
Lead development of ELT workflows using dbt, Airflow, and Azure Data Factory to deliver scalable, testable, and monitored data pipelines.
Develop and enforce standards for data modeling, transformation, and governance, with a focus on high performance, maintainability, and transparency.
Partner with analytics and operations teams to enable rapid insights across population health, provider performance, utilization, and cost-of-care datasets.
Ensure full compliance with HIPAA, HITECH, and internal security policies, working closely with compliance and security teams.
Guide integration of structured and unstructured data from EHRs, claims, lab results, FHIR/HL7 feeds, and SDoH data sources.
Implement and manage tools for data cataloging, lineage, and observability, driving improved trust in enterprise data assets.
Mentor and support a growing team of data engineers, enabling a strong engineering culture rooted in collaboration, accountability, and innovation.
Contribute to enterprise data strategy and roadmap, aligning engineering efforts with business priorities and growth initiatives.

3+ of experience in data engineering, and experience in working with US healthcare system
~ Proven expertise with dbt, Apache Airflow, and Azure Data Factory in production healthcare data environments.
~ Deep understanding of SQL, Python, and cloud-native data warehouse platforms such as Snowflake or Azure Synapse.
~ Demonstrated experience architecting and scaling data platforms on Azure or similar public cloud infrastructure.
~ Hands-on experience with healthcare data standards and formats including HL7, FHIR, X12 837/835, and EHR/claims data.
~ Strong knowledge of HIPAA compliance, PHI handling, and data governance in regulated healthcare settings.
~ Excellent communication and leadership skills with a track record of mentoring data teams and partnering cross-functionally.

Familiarity with Power BI, Looker, or other data visualization tools.
Exposure to real-time or event-driven data architecture (Kafka, Spark Streaming).
Knowledge of data cataloging tools (e.g., Alation, Microsoft Purview).
Strong opinions on CI/CD for data pipelines, Git-based workflows, and infrastructure-as-code.

Comprehensive Health Benefits – Enjoy full health coverage, including free annual dental and health check-ups, plus unlimited teleconsultations.
- Beyond Insurance – We offer not just group health insurance, but also term and accident insurance for added financial security.
- Stay Active – Get reimbursed for health club memberships to keep your body and mind energized.
-Workplace Perks – Enjoy a complimentary daily meal at the office to keep you fueled throughout the day.
-

---