HIH - Software Engineering Lead analyst

Position Summary: 

Evernorth, a leading Health Services company, is looking for exceptional data engineers/developers in our Data and Analytics organization. In this role, you will actively participate with your development team on initiatives that support Evernorth's strategic goals as well as subject matter experts to understand business logic you will be engineering. As a software engineer, you will help develop an integrated architectural strategy to support next-generation reporting and analytical capabilities on an enterprise-wide scale. You will work in an agile environment, delivering user-oriented products which will be available both internally and externally by our customers, clients, and providers. 

Candidates will be provided the opportunity to work on a range of technologies and data manipulation concepts. Specifically, this may include developing healthcare data structures and data transformation logic to allow for analytics and reporting for customer journeys, personalization opportunities, pre-active actions, text mining, action prediction, fraud detection, text/sentiment classification, collaborative filtering/recommendation, and/or signal detection. This position will involve taking these skills and applying them to some of the most exciting and massive health data opportunities that exist here at Evernorth.  

The ideal candidate will work in a team environment that demands technical excellence, whose members are expected to hold each other accountable for the overall success of the end product. Focus for this team is on the delivery of innovative solutions to complex problems, but also with a mind to drive simplicity in refining and supporting of the solution by others 

Job Description & Responsibilities: 

• Be accountable for delivery of business functionality. 

• Work on the AWS cloud to migrate/re-engineer data and applications from on premise to cloud. 

• Responsible for engineering solutions conformant to enterprise standards, architecture, and technologies 

• Provide technical expertise through a hands-on approach, developing solutions that automate testing between systems. 

• Perform peer code reviews, merge requests and production releases. 

• Implement design/functionality using Agile principles. 

• Proven track record of quality software development and an ability to innovate outside of traditional architecture/software patterns when needed. 

• A desire to collaborate in a high-performing team environment, and an ability to influence and be influenced by others. 

• Have a quality mindset, not just code quality but also to ensure ongoing data quality by monitoring data to identify problems before they have business impact. 

• Be entrepreneurial, business minded, ask smart questions, take risks, and champion new ideas. 

• Take ownership and accountability. 

Experience Required: 

11 - 13 years of experience in application program development 

Experience Desired: 

• Knowledge and/or experience with healthcare information domains. 

• Documented experience in a business intelligence or analytic development role on a variety of large-scale projects. 

• Documented experience working with databases larger than 5TB and excellent data analysis skills. 

• Experience with TDD/BDD 

• Experience working with SPARK and real time analytic frameworks 

Education and Training Required: 

Bachelor’s degree in Engineering, Computer Science 

Primary Skills: 

• PYTHON, Databricks, TERADATA, SQL, UNIX, ETL, Data Structures, Looker, Tableau, GIT, Jenkins, RESTful & GraphQL APIs. 

• AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM 

Additional Skills: 

• Ability to rapidly prototype and storyboard/wireframe development as part of application design. 

• Write referenceable and modular code. 

• Willingness to continuously learn & share learnings with others.  

• Ability to communicate design processes, ideas, and solutions clearly and effectively to teams and clients. 

• Ability to manipulate and transform large datasets efficiently. 

• Excellent troubleshooting skills to root cause complex issues