Senior Data Engineer

coherehealth; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Cohere Health is seeking a Senior Data Engineer to contribute to a cloud-native healthcare data platform. You will implement scalable data solutions on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks.

This role blends hands-on engineering with collaboration across platform, analytics, and business teams. You will design and deliver batch and near-real-time pipelines, implement data quality frameworks, and contribute to observability and

Qualifications

• Minimum 5+ years in data engineering or related field.
• Experience delivering enterprise-scale data initiatives in cloud environments.
• Strong Python and SQL proficiency with hands-on Spark experience.

Responsibilities

• Deliver complex data engineering projects with cross-functional teams.
• Lead design to production deployment and scalable data patterns.
• Build batch and near-real-time pipelines using modern orchestration tools.
• Develop reusable ingestion, transformation, validation, and publishing frameworks.
• Improve data quality, observability, and data security practices.
• Mentor junior engineers and participate in architecture discussions.

Skills

Data engineering

Enterprise-scale data

Python

SQL

PySpark

Tools

AWS S3

Glue

Athena

Lake Formation

Apache Iceberg

Delta Lake

dbt

Airflow

Step Functions

Job description

Opportunity Overview

We are seeking a Senior Data Engineer to contribute to the design and delivery of our cloud-native healthcare data platform. You will implement scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines strong hands-on engineering with collaboration across platform, analytics, and business teams.

What You'll Do

Data Engineering Delivery

• Deliver complex data engineering projects in collaboration with cross-functional teams
• Drive technical execution from design through production deployment
• Implement scalable data patterns and reusable frameworks
• Design and implement batch and near-real-time pipelines
• Build reusable ingestion, transformation, validation, and publishing frameworks
• Support modernization of legacy workloads
• Contribute to Apache Iceberg implementation and optimization
• Apply standards for schema evolution, partitioning, compaction, and metadata management
• Ensure efficient storage and query performance
• Implement data quality frameworks and validation layers
• Support observability and monitoring practices
• Contribute to operational excellence and reliability improvements
• Participate in architecture and design discussions
• Conduct and participate in code reviews
• Mentor junior engineers and share best practices

ISMS roles and responsibilities

• Good knowledge of Information security
• Oversee specific business processes within the ISMS.
• Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans.
• Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility.
• They are also responsible for implementing risk treatment plans.
• Conduct the BCP and other test related to information security continuity along with CISO
• Responsible for monitoring and reporting on the performance of the ISMS.
• Responsible for implementation of security policies and procedures and report any issues to the CISO.

What you'll need

• 5+ years of Data Engineering experience
• Experience contributing to enterprise-scale data initiatives
• AWS S3, Glue, Athena, Lake Formation
• IAM and security controls
• Apache Iceberg (preferred)
• Delta Lake / Hudi
• dbt
• Airflow or Step Functions
• Python
• SQL
• PySpark / Spark

Ability to commute/relocate

Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*

• Connect with Talent Acquisition
• Meet with the Hiring Manager
• Behavioral Interview(s)
• Case Study
• Interview with Senior Leadership

*Subject to change

About Cohere Health

Cohere Health's clinical intelligence platform and agentic AI-powered solutions connect health plans' strategic goals and providers' needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum-including policy, prior authorization, payment accuracy, and more-the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.

With the acquisition of ZignaAI, we expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights, our transparent, AI-powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficient payment integrity programs.

Cohere Health's innovations continue to receive industry-wide recognition. We've been recognized on TIME's World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, in the Gartner Hype Cycle for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn Startup for 2023 & 2024.

We can't wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.