Application Development Senior Advisor

Title: Application Development Senior Advisor

Location: NJ-Morris Plains

- Hybrid

Job Description:

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.

Responsibilities:

• 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 a 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 GitHub repositories and GitHub 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.

 

Qualifications:

• 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 an 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 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 122,200 - 203,600 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.

At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.