Application Development Senior Advisor- Hybrid

The Cigna Group•Parsippany-Troy Hills, NJ

4d•$122,200 - $203,600•Hybrid

About The Position

Cigna-Evernorth Services Inc. is hiring an Application Development Senior Advisor in Morris Plains, New Jersey, to develop real-time and batch-processing data pipelines that enhance Cigna’s digital experiences and analytics. The role develops production data solutions and machine-learning applications, contributes to data-pipeline architecture, and ensures data assets meet business, analytics, quality, and performance requirements. It also supports data governance, metadata cataloging, privacy controls, and automated deployment workflows. The position leads adoption of generative-AI-enhanced development practices, including AI-assisted debugging and code generation, and applies prompt engineering to improve AI-driven data workflows. It also collaborates with stakeholders and mentors junior engineers. The work schedule is hybrid. For occasional or permanent home work, a cable broadband or fiber-optic connection of at least 10 Mbps download and 5 Mbps upload is required.

Requirements

Master’s degree in Computer Science, Business Analytics, or a related field and 3 years of experience; alternatively, a bachelor’s degree and 5 years of experience.
Experience developing and managing scalable ETL pipelines, collaborative analytics workflows, and production-grade data solutions using PySpark.
Experience leveraging AWS S3 for storage and integration.
Experience writing advanced SQL queries for data extraction, transformation, and analysis in large-scale data environments.
Experience designing and implementing logical and physical data models.
Experience applying schema-design best practices.
Experience maintaining enterprise-level data warehouses with reliable ETL processes.
Experience orchestrating, monitoring, and optimizing big-data pipelines for ingestion, transformation, and quality assurance of high-volume data across distributed computing frameworks.
Experience troubleshooting and optimizing query performance, execution plans, and resource allocation for large-scale datasets.

Responsibilities

Develop solutions using AWS, Databricks, Airflow, Redshift, DynamoDB, Elasticsearch, RDS, Snowflake, and machine-learning tools.
Develop production data pipelines using Spark with Scala, Python, and SQL, and implement machine-learning algorithms on Databricks and AWS.
Participate in architectural decisions for data pipelines and implement advanced analytics solutions aligned with organizational goals.
Assemble large, complex data sets while meeting functional and analytics business requirements and high quality and performance standards.
Use generative AI tools to create descriptions for data tables and columns and ingest generated metadata into the Collibra Data Catalog through APIs.
Implement data governance and access control in the healthcare domain.
Configure Immuta for column-level masking of PII and PHI and row-level security.
Lead adoption of generative-AI-enhanced development pipelines with Cursor AI, including advanced debugging, code generation, and context-aware engineering across multi-file projects.
Apply and continuously refine prompt-engineering techniques to improve the reliability and performance of AI-driven data workflows.
Manage GitHub repositories and GitHub Actions CI/CD pipelines to automate deployment of Databricks jobs and notebooks.
Collaborate with executive leadership, product, and engineering stakeholders to resolve data-related technical issues and support data infrastructure needs.
Mentor and upskill junior engineers, translating complex business requirements into scalable data solutions.