Application Development Senior Advisor- Hybrid

Cigna Group•Morris Plains, NJ

3d•Hybrid

About The Position

Cigna-Evernorth Services Inc. seeks an Application Development Senior Advisor for its Morris Plains, New Jersey location. The role develops real-time and batch-processing data pipelines to enhance Cigna’s digital experiences and analytics. It uses cloud, data engineering, analytics, machine learning, and generative AI technologies to build and maintain production-grade data solutions. The position participates in architectural decisions, supports data governance and access control in healthcare, automates deployments, and partners with stakeholders to resolve technical data issues. It also mentors junior engineers. The work schedule is hybrid. The role requires a master’s degree in Computer Science, Business Analytics, or a related field and three years of experience, or a bachelor’s degree and five years of experience. The position is expected to be eligible for an annual bonus plan. For occasional or permanent work from home, an internet connection through cable broadband or fiber with 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 three years of experience; alternatively, a bachelor’s degree and five 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 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 decision-making for data pipelines and implement advanced analytics solutions aligned with organizational goals.
Assemble large and complex data sets to meet functional and analytics business requirements while maintaining high quality and performance standards.
Use generative AI tools to generate descriptions for data tables and columns, and ingest generated metadata into the Collibra Data Catalog via APIs.
Implement data governance and access control within the healthcare domain.
Configure Immuta for column-level masking of PII and PHI and for 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 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, helping translate complex business requirements into scalable data solutions.