About the roleAs a
GCP Data Engineer, you will make an impact by modernizing healthcare data quality and campaign processing platforms through cloud-based engineering solutions on Google Cloud Platform (GCP). You will be a valued member of the Data Engineering team and work collaboratively with architects, business stakeholders, healthcare operations teams, and cross-functional technology partners to design, build, and optimize scalable data solutions.
In this role, you will:- Lead the migration of healthcare Data Quality (DQI) campaign pipelines from legacy platforms to Google Cloud Platform.
- Develop and enhance Python-based solutions, converting SAS macros into scalable, reusable modules supporting drug targeting, member eligibility, claims processing, formulary logic, and vendor file generation.
- Design, build, and maintain Apache Airflow workflows in Google Cloud Composer to orchestrate complex healthcare campaign processes with parallel execution and automated scheduling.
- Create and manage BigQuery datasets, tables, and views to support campaign orchestration, state tracking, reporting, and operational analytics.
- Implement scalable cloud architecture patterns, including ephemeral cluster deployment strategies and concurrent processing models to improve performance and efficiency.
- Develop automated validation and quality assurance frameworks to ensure data accuracy and consistency between legacy and modernized platforms.
- Partner with business and technical teams to troubleshoot data issues, optimize workflows, and support production operations.
Work modelWe believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a
hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered- Strong experience in data engineering, data migration, or cloud modernization projects.
- Hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage (GCS), and Google Cloud Composer.
- Advanced Python development experience, including building reusable frameworks, data processing applications, and automation solutions.
- Experience migrating legacy analytics or ETL platforms, such as SAS, to modern cloud-native technologies.
- Expertise developing and managing Apache Airflow DAGs, workflow orchestration, and production scheduling processes.
- Experience designing scalable data processing architectures utilizing parallel execution and performance optimization techniques.
- Strong understanding of healthcare data domains, including claims, member eligibility, pharmacy, or population health datasets.
- Experience implementing data quality validation, reconciliation, and testing frameworks.
- Strong SQL skills and experience designing data models, tables, and views.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience.
These will help you stand out- Experience with healthcare campaign management or customer outreach platforms.
- Knowledge of Vertex AI and machine learning enablement within GCP.
- Experience with YAML-based configuration frameworks and metadata-driven application design.
- Familiarity with EDM workflows and enterprise file transfer automation.
- Experience working within highly regulated healthcare or payer environments.
- Knowledge of cloud infrastructure optimization, distributed processing, and workload scalability.
- Experience supporting enterprise-scale data modernization and digital transformation initiatives.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until August 14, 2026.
The annual salary for this position is between $ 85,000 - $ 100,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
