Data Engineering Senior Analyst
Core
Architect, develop, and optimize robust AI data solutions on cloud platforms, building foundational AI and Data infrastructure for scalable, secure, high-performance applications.
Role type
Senior Cloud Data Engineer (AI/ML Infrastructure)
Builds
AI and Data platform stack, ETL/ELT pipelines, cloud-native data solutions
Domain
Healthcare Insurance (Cigna International Health), Cloud Data Engineering, AI/ML
Deliverable
infrastructure
Required skills
Cloud-native data engineering, AWS services (Lambda, S3, IAM, KMS, API Gateway), Terraform/IaC, Spark/AWS Glue/Databricks, Python, SQL, ETL/ELT pipeline optimization, CI/CD (Jenkins, GitHub Actions, GitLab CI), Gen-AI development environments (Azure AI, AWS Bedrock, GCP), Prompt Engineering
Preferred skills
Experience in regulated environments, multi-region/multi-currency systems, Agile methodologies, Jira
Technologies
AWS, Terraform, Spark, AWS Glue, Databricks, Python, SQL, Jenkins, GitHub Actions, GitLab CI, Azure AI, AWS Bedrock, GCP, Cursor, Jira
Responsibilities
Provide technical direction for Cloud and AI platform, implement AI platform strategy, own AI and Data platform stack, define application development policies/standards, mentor junior developers, execute software projects on time/budget (via careerplan.io/jobs/26003484-data-engineering-senior-analyst-at-cigna)
Seniority
Senior, technical leadership & mentorship
