Application Development Senior Advisor- Hybrid
Core
Develop real-time and batch processing data pipelines and advanced analytics solutions to enhance Cigna's digital experiences and healthcare analytics.
Role type
Senior IC data engineering and ML advisor
Builds
Production data pipelines, advanced analytics solutions, and Gen AI-enhanced development workflows
Domain
Healthcare + Data Engineering / Machine Learning
Deliverable
production ML models
Required skills
PySpark, AWS (S3, Redshift, DynamoDB, RDS), Databricks, Airflow, SQL, Scala, Python, Generative AI, Prompt Engineering, Data Governance, Immuta, CI/CD (GitHub Actions)
Preferred skills
Experience with Generative AI tools (Cursor AI), Column-level masking, Row-level security, Mentorship
Technologies
AWS, Databricks, Airflow, Redshift, DynamoDB, Elasticsearch, RDS, Snowflake, Spark, Scala, Python, SQL, Collibra, Immuta, Cursor AI, GitHub
Responsibilities
Develop scalable ETL pipelines using PySpark and SQL; Implement machine learning algorithms on Databricks; Utilize Generative AI tools to generate data metadata and ingest into Collibra; Configure Immuta for PII/PHI masking and security; Lead adoption of Gen AI-enhanced development pipelines; Manage GitHub repositories and CI/CD pipelines; Mentor junior engineers; Collaborate with stakeholders to resolve technical issues.
Seniority
Senior, hands-on IC with mentorship responsibilities
