Application Development Senior Advisor- Hybrid

Application Development Senior Advisor Cigna-Evernorth Services Inc. seeks an Application Development Senior Advisor for the Morris Plains, NJ location to develop real-time and batch processing data pipelines to enhance Cigna's digital experiences and analytics.

Develop solutions using tools in AWS, Databricks, Airflow, Redshift, DynamoDB, Elasticsearch, RDS, Snowflake, and Machine Learning tools. Develop production data pipelines using Spark with Scala, Python, SQL, and implementing machine learning algorithms on Databricks and AWS. Participate in architectural decision-making processes for data pipelines and implement advanced analytics solutions, ensuring alignment with organizational goals. Assemble large and complex data sets, ensuring that all functional and analytics business requirements are met with high quality and performance standards.

Utilize Generative AI tools to automatically generate comprehensive descriptions for data tables and columns and ingest the generated metadata into the Collibra Data Catalog via APIs. Demonstrate experience in implementing data governance and access control within the Healthcare domain. Configure Immuta to enable column-level masking for PII and PHI, as well as row-level security. Lead the adoption of Gen AI-enhanced development pipelines with Cursor AI, focusing on advanced debugging, code generation, and context-aware engineering across multi-file projects.

Apply expert prompt engineering techniques to improve the reliability and performance of AI-driven data workflows. Continuously test and refine prompts to achieve optimal outcomes. Manage Git Hub repositories and Git Hub Actions CI/CD pipelines to automate deployment of Databricks jobs and notebooks. Collaborate with stakeholders, including executive leadership, product, and engineering teams, to resolve data-related technical issues and support their data infrastructure needs.

Mentor, collaborate and upskill junior engineers with translating complex business requirements into scalable data solutions to ensure team-wide technical excellence.

Hybrid work schedule.

Master's degree Computer Science, Business Analytics or related field and 3 years of experience. Will accept a Bachelor's degree and 5 years of experience. Must have experience with: developing and managing scalable ETL pipelines, collaborative analytics workflows, and production-grade data solutions using PySpark;
Leveraging AWS S3 for storage and integration;
Writing advanced SQL queries for data extraction, transformation, and analysis within large-scale data environments;
Designing and implementing logical and physical data models;
Applying best practices for schema design;
Maintaining enterprise-level data warehouses with reliable ETL processes;
Orchestrating, monitoring, and optimizing big data pipelines for the ingestion, transformation, and quality assurance of high-volume data across distributed computing frameworks; and Troubleshooting, optimizing query performance and execution plans, and resource allocation for large-scale datasets.

Salary Range: $193,461-$203,600

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10

Mbps download/5

Mbps upload. For this position, we anticipate offering an annual salary of 122, USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan.