The Cigna Group is looking for a Machine Learning Software Engineering Senior Advisor to join our Data & Analytics Engineering organization. You will deliver meaningful value within the Healthcare space by designing, developing, and deploying new applications and features that directly impact Cigna's bottom line, utilizing technologies from GenAI and big data to the latest cloud services and web frameworks.
What You'll Do
- Write loosely coupled, readable, reusable, and modular code.
- Ensure ongoing data quality by monitoring data to identify problems before they impact the business.
- Design and architect alternative solutions independently.
- Drive to simplify and reduce dependencies.
- Champion innovative ideas.
- Deliver enterprise or customer-facing applications in a variety of scenarios.
- Implement and deploy differing application solutions.
- Innovate outside of traditional architecture/software patterns when needed.
- Collaborate in a high-performing team environment, and influence and be influenced by others.
- Help distill complex ideas into an architectural and implementation plan, and then prove it out.
- Critically evaluate the trade-offs and implementation impacts of emerging vs. more established technologies.
What We're Looking For
- 5+ years of documented experience in a business intelligence or analytic development role on a variety of large-scale projects.
- Expertise in BigData and related technologies.
- Excellent data analysis skills.
- Cloud certifications, and/or cloud development experience with developing applications or infrastructure on AWS.
- Knowledge of Apache Spark, distributed application development on spark using PySpark or Scala.
- Experience in development using scripting languages such as Python.
- Comfortable in configuring and using multiple operating systems (Mac/Windows/*nix).
- Design and architecture expertise with AWS, Teradata, BI, and related ecosystem tools.
- Experience with a disciplined software development lifecycle.
- Ability to communicate at various levels within large organizations.
- Knowledge of Big Data tool performance/tuning/measurement and usage criteria to drive appropriate tool selections and use.
- Excellent communication skills and team collaboration skills.
Nice to Have
- DevOps, CICD development experience.
- Experience with Health care information domains.
- Experience working on advanced Big Data solutions.
- Expertise in designing business intelligence systems, dashboard reporting, and analytical reporting.
- Experience with Healthcare domains.
- Advanced Degree (Master of Science or equivalent) in an engineering or quantitative discipline.
Technical Stack
- BigData
- AWS
- Apache Spark, PySpark, Scala
- Python
- Teradata
- BI tools
Team & Environment
You will be part of the Data & Analytics Engineering organization, partnering with that organization to solve integration needs.
Benefits & Compensation
- Compensation range: $130,200 - $217,000 USD yearly.
- Medical, vision, dental insurance.
- Well-being and behavioral health programs.
- 401(k).
- Company paid life insurance.
- Tuition reimbursement.
- Minimum of 18 days of paid time off per year.
- Paid holidays.
- Annual bonus plan eligibility.
Work Mode
This is a fully remote position.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
