GCP AI Engineer / GCP Data Engineer - Must be local to TX
srikar Dyapa
<srikar.dynasticx@gmail.com>Job Description – GCP AI Engineer / GCP Data Engineer
Project: Clinical Policy Hub Modernization
Role: GCP AI Engineer / GCP Data Engineer
Location:Onsite - Dallas TX
Duration: Long Term Contract
Job Summary
We are looking for a skilled GCP AI Engineer / GCP Data Engineer to support the modernization of a Clinical Policy Hub platform within the healthcare domain. The ideal candidate should have strong experience in Google Cloud Platform (GCP), AI-enabled development, and modern data engineering practices. Candidates should be comfortable leveraging AI productivity tools such as GitHub Copilot and other AI-assisted engineering platforms to accelerate development and improve operational efficiency.
This role requires strong communication skills and the ability to collaborate effectively with technical and business stakeholders. Mid-level to senior-level professionals are preferred; junior profiles will not be considered.
Key Responsibilities
- Design, develop, and maintain scalable data engineering and AI solutions on GCP.
- Support modernization of Clinical Policy Hub platforms and related healthcare workflows.
- Build and optimize cloud-native data pipelines and AI-enabled workflows.
- Develop scalable ETL/ELT processes using GCP technologies.
- Integrate AI tools and automation capabilities into development and operational processes.
- Collaborate with architects, product owners, and healthcare business teams to gather requirements and deliver solutions.
- Develop APIs, data services, and integrations with healthcare systems and platforms.
- Ensure data quality, governance, security, and compliance standards are met.
- Participate in code reviews, architecture discussions, and deployment planning.
- Utilize AI-assisted development tools such as GitHub Copilot and similar platforms to improve engineering productivity.
Required Skills
- Strong hands-on experience with Google Cloud Platform (GCP).
- Experience in Data Engineering and cloud-based data processing solutions.
- Exposure to AI/ML solutions and AI-assisted development tools.
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Strong experience with:
- BigQuery
- Dataflow
- Cloud Storage
- Pub/Sub
- Cloud Functions
- Cloud Run
- GKE/Kubernetes
- Strong SQL and Python programming skills.
- Experience building scalable ETL/ELT pipelines.
- Knowledge of modern cloud architecture and distributed systems.
- Experience with CI/CD pipelines and DevOps practices.
- Ability to work in Agile development environments.
- Excellent verbal and written communication skills.
Preferred Qualifications
- Healthcare domain experience, especially clinical platforms or policy systems.
- Familiarity with AI tools such as GitHub Copilot, GenAI coding assistants, or intelligent automation platforms.
- Exposure to healthcare data standards such as FHIR or HL7.
- Experience with modern data lake or data warehouse architectures.
- GCP certifications are a plus.
Experience Required
- 6+ years of overall IT experience.
- 3+ years of hands-on GCP Data Engineering experience.
- Mid-level to Senior-level candidates preferred.
- Strong communication and stakeholder management skills are mandatory.
