Senior Software Engineer

About the Role

Key Responsibilities

• Deliver on development commitments from start to finish for all aspects of the Data Products and Engineering organization.
• Consult on design and development of data engineering work to source data and perform feature engineering for data science and machine learning applications.
• Build scalable distributed software and design, construct, and implement software in a development environment.
• Design and execute DevOps strategies, including automated deployment frameworks (CI/CD) and change management.
• Produce high quality, modular, reusable code following best practices.
• Create and review enterprise-level system design documentation such as Use Cases, Software Architecture Documentation, Service Mapping, and end-user documentation.
• Develop Service Level Agreements and Supplementary Specifications to ensure standards for uptime, security, and versioning.
• Lead troubleshooting activities and provide after-hours/on-call support as needed.
• Mentor other engineers and collaborate with teams on technology evaluation and product selection.
• Partner with managers on contract negotiations, vendor relations, and participate in hiring and performance evaluations.
• Research and become SME on service interactions with source systems and consumers.
• Design, build, and maintain automated deployment frameworks and DevOps processes.
• Communicate software architecture clearly and estimate work effort for features.

Requirements

• Bachelor's degree required; Master's degree preferred.
• 5+ years of relevant work experience or equivalent combination of education and experience.
• Strong proficiency in Python and SQL.
• Experience with Google Cloud Platform (GCP) and cloud development technologies.
• Data engineering experience including architecture for ingesting, transforming, and feature engineering data for data science and machine learning.
• Deep understanding of streaming and event-driven architectures.
• Experience with REST-based APIs, distributed version control, and container platforms such as Docker, Kubernetes, OpenShift, and Cloud Run.
• Knowledge of DevOps practices and associated tools, including CI/CD frameworks and monitoring solutions.
• Experience with healthcare data and technology is preferred.
• Excellent communication skills, both written and verbal.
• Understanding of data science concepts and Service Oriented Architecture (SOA).
• Linux command line skills and familiarity with Agile methodologies such as Scrum, Lean, and Domain Driven Design.
• Ability to work independently, lead projects, and mentor colleagues.

Nice to Have

• Experience with Copilot and Lovable AI software.
• Healthcare experience.

Qualifications

• Bachelor's degree required.
• Master's degree preferred.
• 5+ years of relevant work experience or equivalent.

Benefits & Perks

• Comprehensive medical coverage including prescription drug, behavioral health, telemedicine, and AirMed transportation.
• Additional options for dental, vision, life and disability coverage, flexible spending accounts, supplemental health plans, auto and home insurance, identity theft protection, legal counseling, long-term care, and pet insurance.
• Free counseling services and resources for emotional, physical, and financial wellbeing.
• 401(k) plan with 100% match on 3% to 9% of pay.
• Employee Stock Purchase Plan with 10% off HCA Healthcare stock.
• Fertility and family building benefits, adoption assistance, and referral services.
• Consumer discounts through Abenity and other providers.
• Retirement readiness and rollover assistance services.
• Education assistance including tuition, student loans, and certification support.
• Colleague recognition program.
• Time Away From Work Program including paid time off, family leave, and disability coverage.
• Employee Health Assistance Fund providing free employee-only coverage based on income.