Lead Data Engineer

Opportunity Overview:

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

What you’ll do:

• Lead Data Engineering Initiatives 
• Lead delivery of complex data engineering projects across multiple teams 
• Drive technical execution from design through production deployment 
• Establish scalable implementation patterns Build and Optimize Data Platforms 
• Design and implement batch and near-real-time pipelines 
• Build reusable ingestion, transformation, validation, and publishing frameworks 
• Support modernization of legacy workloads Lakehouse Engineering 
• Lead Apache Iceberg implementation and optimization 
• Define standards for schema evolution, partitioning, compaction, and metadata management 
• Ensure efficient storage and query performance Data Quality and Reliability 
• Implement data quality frameworks 
• Drive observability and monitoring practices 
• Improve operational excellence and reliability Technical Leadership 
• Review architecture and design proposals 
• Conduct code reviews and engineering reviews 
• Mentor engineers and establish best practices

ISMS roles and responsibilities:

• Good knowledge of Information practices.
• Assist the manager in all the information security activities implementation and maintenance process.
• Ensuring the  team and imparted with Competence related to Information security
• Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.

Required Qualifications:

• 8–12 years of Data Engineering experience.
• Experience leading enterprise-scale data initiatives Cloud Technologies 
• AWS S3, Glue, Athena, Lake Formation 
• IAM and security controls Modern Data Stack 
• Apache Iceberg (preferred) 
• Delta Lake / Hudi • dbt • Airflow or Step FunctionsProgramming 
• Python 
• SQL 
• PySpark / Spark

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. 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.