Hybrid: Senior Software Engineer & Data Analytics Advisor

Cigna Healthcare; Plano (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Cigna-Evernorth Services, Inc. in Plano, TX seeks a Senior Advisor to build and deliver an automated big data regulatory analytics solution. You will work with business and technical experts to implement software engineering best practices that minimize risk and maximize reusability across states.

The role is hands-on, with responsibilities from architectural refinement to deploying scalable Python-based data pipelines using Databricks, Spark, and AWS. A hybrid work schedule is offered.

Qualifications

• Master’s degree in Computer Science or closely related field with 3 years of software development experience.
• Alternatively, a Bachelor’s degree with 5 years of software development experience.
• Experience translating business requirements into technical specs and estimates.

Responsibilities

• Implement software engineering best practices to minimize risk and improve reusability across US states.
• Participate in architectural refinement and design of products supporting strategic tech needs.
• Deliver working software with exceptional user experience.
• Hands-on lead within the development team; guide design, deployment, and CI/CD processes.
• Design and conduct proofs of concepts for innovative tools and frameworks.
• Maintain deep involvement in the implementation process and identify design problems.

Skills

Python development

Spark (PySpark)

Databricks

AWS

CI/CD

GIt/GitHub/GitLab

TDD

Shell scripting

OpenShift

Education

Master’s degree in Computer Science or related field

Bachelor’s degree + 5 years experience

Tools

Git, GitHub, GitLab

Docker

OpenShift

Airflow

Boto3

Job description

Cigna-Evernorth Services, Inc. in Plano, TX seeks a Senior Advisor to build and deliver an automated big data regulatory analytics solution. You will work with business and technical experts to implement software engineering best practices that minimize risk and maximize reusability across states.

The role is hands-on, with responsibilities from architectural refinement to deploying scalable Python-based data pipelines using Databricks, Spark, and AWS. A hybrid work schedule is offered.