Software Engineering Senior Advisor-Hybrid

The job profile for this position is Software Engineering Senior Advisor, which is a Band 4 Senior Contributor Career Track Role with Cigna-Evernorth Services Inc.

Requirements-

• Participate in the delivery of the definitive enterprise information environment that enables strategic decision-making capabilities across the enterprise via analytics and reporting;

• Provide counsel and advice to top management on significant engineering matters, often requiring coordination between organizations;

• Serve as subject matter expert for the most complex Information Management assignments;

• Design and develop consolidated conformed enterprise data warehouse and data lake to store critical data across Customer, Provider, Claims, Client, and Benefits data;

• Design, develop, and implement methods, processes, tools, and analyses to sift through large amounts of data stored in a data warehouse or data mart to find relationships and patterns;

• Analyze source data and data flows, working with structured and unstructured data;

• Build data pipelines to extract, transform, crunch and store data in various target systems;

• Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends;

• Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely;

• Apply AI/Machine Learning technology to solve real-world problems; and

• Provide thought leadership and technical expertise across multiple disciplines, such as Machine Learning, Natural Language Processing, Text Mining, Graph Processing, Search, and Recommendation Systems.

• Partial work from home benefits available.

Qualifications-

• Master's degree or foreign equivalent in Computers or Engineering;

• 3 years of experience as a Solution Architect, Software Engineer, or in a related occupation;

• Experience with Machine Learning and Artificial Intelligence techniques and tools;

• Experience applying Machine Learning/AI in real-world industrial settings with large scale data;

• Experience with data sources and platforms (i.e.

Unix/Linux, Teradata, Hadoop, Spark, Distributed environment, RDBMs like Oracle/SQL Server/PostgreSQL/DB2, and Kafka);

• Experience with Snowflake experience with best performance optimized techniques;

• Experience with Agile Software Development Life Cycle (SDLC) and working with DevOps tools (i.e.

Jenkins, Terraform , Git, and Jira);

• Experience with Cloud solutions (i.e.

AWS, Azure);

• Experience with Databricks development experience; and

• Experience using: Delta tables, Delta Sharing, Apache, Hive, Scala, Python, and RabbitMQ.

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.

About The Cigna Group

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