Senior Data Engineer

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.

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.

• 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

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

• Connect with Talent Acquisition

• Meet with the Hiring Manager

• Behavioral Interview(s)

• Case Study

• Interview with Senior Leadership

*Subject to change

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