Data Engineer

Job Location:

Columbus, OH or Orlando, FLAbout the jobJOB SUMMARY

The Staff Engineer is a full-stack developer and technical leader proficient at designing and developing all layers of complex software applications. This engineer works on an agile product development team as a hands-on contributor, collaborator, and leader. The Staff Engineer plays an important role on their team by leading significant initiatives, establishing team best practices, and helping teammates grow as engineers.

This role partners with product management, architecture, engineering teams, and business stakeholders to design, build, and support scalable, secure, and reliable systems supporting critical healthcare business functions.

Design and implement high-quality software features and components for complex software solutions, including the responsible use of agentic coding tools to enhance productivity, maintainability, and software quality. Select appropriate design patterns and follow industry best practices to create maintainable, long-lived code optimized for long-term quality. Work with the product team to develop software that meets requirements while remaining maintainable and performant.

Lead sizing and complexity evaluation discussions for initiatives. Troubleshoot complex software, application, and performance issues through analysis, testing, benchmarking, and root-cause investigation. Facilitate effective team collaboration, guiding and mentoring peers in engineering best practices including automated testing, code reviews, documentation, and secure coding standards.

Define test practices covering all layers of the application. Define and implement QA processes such as code review and static analysis. Create testing strategies covering unit, system, and end-to-end tests as well as security, performance, regression, and automation testing. Coach teams on testing techniques such as test-driven development (TDD), behavior-driven development (BDD), and testing for positive and negative scenarios.

Devise data storage and access strategies that meet the needs of high complexity features. Use knowledge of data modeling, data storage, and data transmission techniques to make appropriate design decisions. Design and implement scalable data ingestion and processing solutions supporting analytical and operational workloads. Design metadata to make applications more scalable and adaptable. Apply data modeling, schema design, query optimization, and database performance tuning techniques for relational database systems.

Design solutions that address data quality, idempotency, late-arriving data, scalability, and maintainability requirements.

Advise on and pilot specialized cloud services for analytics, AI/ML, etc. Design and support cloud-native solutions leveraging AWS technologies including MWAA (Apache Airflow), Glue, Lambda, SQS, S3, EKS (Kubernetes), Aurora PostgreSQL, and Redshift. Expert-level management of relational and non-relational database servers. Manage infrastructure using infrastructure as code (IaC), including Terraform. Build and maintain CI/CD pipelines using tools such as Git Hub Actions, Concourse, or similar technologies.

Establish advanced monitoring, alerting, and logging solutions for infrastructure. Design systems for high availability, load balancing, and disaster recovery.

Support production systems through deployment activities, monitoring, incident response, troubleshooting, and operational improvements. Improve operations culture of team by defining best practices, metric radiation, and identification of operational patterns. Collaborate with partner teams to improve platform stability, performance, and scalability. Utilize techniques like blue/green deployments to minimize user impact. Understands business impact of operational product issues in production. Participate in on-call support processes as needed.

Lead team in development of software with a security-first mindset using knowledge of standard security protocols and common…