We are on a mission to make better health easy. Every day our employees contribute to this mission and help hundreds of thousands of people around the globe improve their health. We are seeking an experienced Senior AI Data Engineer to join our Data organization. This role is designed for engineers who thrive in an AI-first, cross-functional environment and want to own the full lifecycle of data solutions — from infrastructure and pipelines to analytics, dashboards, automation, and business impact.

The Senior AI Data Engineer will operate within a domain ownership model, taking responsibility for both technical execution and business-facing outcomes within rotating organizational domains such as Clinical, Finance, Product Analytics, Enrollment, AI Infrastructure, Data Infrastructure, and QA.

We are looking for individuals who can combine technical depth, business understanding, AI-assisted execution, and product-oriented thinking into a single end-to-end ownership mindset.

The ideal candidate is highly technical, proactive, AI-oriented, comfortable working across multiple layers of the stack, and capable of independently driving initiatives from concept through delivery.

Only candidates currently residing in Gurugram, or those willing to relocate, will be considered

End-to-End Data Solution Ownership

Own the full lifecycle of data solutions including ingestion, transformation, modeling, visualization, automation, monitoring, and stakeholder delivery.

Design, develop, and maintain scalable ETL/ELT pipelines, data warehouses, semantic layers, and near real-time data flows.

Collaborate closely with Product, Design, R&D;, Analytics, Marketing, Operations, and Business stakeholders to translate requirements into scalable technical solutions.

Drive initiatives independently from planning and architecture through deployment and operational support.

AI-First Engineering & Automation





Leverage AI-assisted development workflows to accelerate execution, improve code quality, and optimize operational efficiency.

Design and maintain AI-enabled workflows including prompt pipelines, automated enrichment processes, vector integrations, and LLM-assisted tooling where applicable.

Evaluate and adopt emerging AI/GenAI technologies to improve engineering velocity and organizational scalability.

Contribute to automation-first engineering practices across development, QA, monitoring, and documentation workflows.

Utilize Git-based workflows and contemporary software engineering practices as part of daily execution.

Data Engineering & Infrastructure

Develop scalable and reliable data pipelines using modern orchestration and transformation frameworks.

Optimize existing infrastructure for performance, cost efficiency, scalability, and reliability.

Build and maintain data quality validation frameworks, monitoring systems, and operational alerting processes.

Contribute to future-state architecture decisions across data platform and AI infrastructure initiatives.

Maintain technical documentation including architecture diagrams, data dictionaries, SOPs, and operational playbooks.

Ensure alignment between business expectations, data definitions, and technical implementation.

Quality, Compliance & Delivery

Design and execute validation and testing processes across pipelines, transformations, dashboards, and business logic.

Ensure compliance with security, governance, privacy,



and regulatory standards.

Work in Agile development environments with strong ownership and accountability expectations.

6+ years of hands-on experience in Data Engineering, Analytics Engineering, or similar technical data roles.

- Strong proficiency in Python and SQL.
- Experience with Snowflake and dbt.
- Experience developing scalable ETL/ELT pipelines.
- Strong understanding of data warehousing, dimensional modeling, and modern data architecture principles.
- Experience with orchestration frameworks such as Airflow.
- Experience with Git, CI/CD workflows, and collaborative development practices.
- Experience with dashboarding and analytical tooling such as Tableau, Streamlit, or Power BI.
- Familiarity with AI-assisted development workflows and modern GenAI tooling.
- Experience working in Agile methodologies.

Experience with AWS or other cloud-native data technologies.

Experience with Kafka, Spark, Flink, or streaming architectures.

Familiarity with LLM ecosystems, vector databases, embeddings, and AI orchestration frameworks.

Experience with QA automation and data testing frameworks.

Experience with Fivetran or modern ingestion platforms.

Experience supporting production analytics and operational reporting systems.

Healthcare or health-tech industry experience is a plus.

DarioHealth promotes diversity of thought, culture and background, which connects the entire Dario team. We believe that every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and deliver solutions. We are passionate about building and sustaining an inclusive and equitable working and learning environments for all people, and do not discriminate against any employee or job candidate. ***

📌 Senior Data Engineer - AI & Data (Gurugram)
🏢 Dario Designs
📍 Gurugram