Senior Data Engineer

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:

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.