Staff Data Engineer

CVS Health; Town of Florida (NY); Hybrid; USD 118,000 - 237,000; Full time

Job summary

CVS Health is building a world of health by developing a cloud-native data platform that ingests, transforms, stores, and governs enterprise claims data. You will lead architecture and engineering efforts across Kafka-based streaming, Spark processing, and AWS services to enable scalable data movement and secure access to assets.

The role emphasizes collaboration with Product, Architecture, Security, and Infrastructure teams, driving reliability, observability, and rapid delivery while mentoring

Qualifications

• 7+ years of software design and development in enterprise data platforms and cloud-native architectures.
• 5+ years of experience with public cloud platforms and cloud-native solutions.
• 5+ years designing data streaming/processing solutions.

Responsibilities

• Define and drive the technical architecture and engineering roadmap for the application Platforms.
• Design and implement cloud-native platform solutions for data ingestion, transformation, and storage.
• Provide technical leadership for data streaming and event-driven architectures using Kafka and cloud patterns.
• Lead data lake/transformations using AWS S3, Glue, Spark for Raw/Silver/Gold layers.
• Establish engineering standards for API design, microservices, and platform reliability.
• Guide secure, scalable APIs and microservices using Java/Spring Boot on AWS.
• Collaborate with stakeholders to translate requirements into solutions and drive production readiness.

Skills

Software design

Cloud-native

Data platforms

Java/Spring Boot

AWS

Architecture leadership

Agile / DevOps

Education

Bachelor's degree in CS/Engineering

Tools

Kafka

AWS

Spark

S3

Glue

PostgreSQL

MongoDB

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Primary Job Responsibilities

• Define and drive the technical architecture and engineering roadmap for the application Platforms, ensuring alignment with business objectives, enterprise standards, and long-term scalability requirements.
• Design and implement cloud-native platform solutions that support enterprise-scale claims data ingestion, transformation, storage, governance, and consumption.
• Provide technical leadership for data streaming and event-driven architectures, leveraging technologies such as Kafka, CDC, and cloud-native messaging patterns to enable reliable and scalable data movement.
• Lead the design and optimization of data lake and transformation solutions utilizing AWS S3, AWS Glue, Spark, and related services to support Raw, Silver, and Gold data processing layers.
• Establish engineering standards and best practices for application development, API design, microservices architecture, cloud infrastructure, data modeling, security, and platform reliability.
• Guide the development of secure, scalable APIs and microservices using Java, Spring Boot, and AWS-native services to enable governed access to enterprise claims data assets.
• Collaborate with Product, Architecture, Security, Infrastructure, and Business stakeholders to translate business capabilities and data requirements into practical technology solutions.
• Drive operational excellence by defining and implementing strategies for platform availability, resiliency, observability, performance, scalability, disaster recovery, and production support.
• Conduct architecture reviews, design reviews, and technical risk assessments to ensure solution quality, compliance, security, maintainability, and adherence to enterprise standards.
• Mentor and develop engineering talent across Technology Platform Engineering and Software Engineering teams, providing technical guidance, coaching, and leadership to foster a high-performing engineering culture.

Required Qualifications

• 7+ years of software design and development experience in enterprise data platform applications, including cloud-native architectures and Agile development methodologies.
• 5+ years of experience with public cloud platforms with demonstrated expertise in designing and implementing cloud-native solutions.
• 5+ years of experience designing, implementing, and supporting data streaming, data processing, and/or data transformation solutions
• 3+ years of experience with relational and non-relational databases such as technologies such as Amazon Aurora, PostgreSQL, MongoDB, Cosmos DB or Microsoft SQL Server and with ability to design scalable schemas, data models, and storage strategies.
• 2+ years of experience in production operations support of applications and in using of observability platform tools

Preferred Qualifications

• Experience designing and implementing enterprise-scale cloud data platforms on AWS using services such as S3, Glue, Spark, Aurora PostgreSQL, MongoDB, and related cloud technologies.
• Hands‑on experience building event‑driven and distributed systems utilizing Kafka, CDC, microservices, APIs, and cloud-native architecture patterns.
• Strong understanding of modern software engineering, DevOps, CI/CD, Infrastructure as Code, observability, reliability engineering, and operational best practices.
• Working knowledge of healthcare data domains, including claims, member, provider, or clinical data, and familiarity with HIPAA, PHI, and healthcare regulatory requirements.
• Proven ability to lead complex technical initiatives, influence architectural decisions, and deliver business outcomes across multiple teams and stakeholders.
• Demonstrated ownership mindset with a track record of driving solutions from concept through production while balancing quality, scalability, security, and operational excellence.
• Excellent collaboration, communication, leadership, and mentoring skills with a proven ability to foster a high-performing, inclusive engineering culture focused on accountability, innovation, continuous learning, and teamwork.

Education

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Pay Range

The typical pay range for this role is:

$118,450.00 - $236,900.00

This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/22/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.