Sr Data Engineer

Children's Mercy KC•Kansas City, MO

9d•$48•Hybrid

About The Position

This role supports grant-funded diabetes work for the Rising T1DE Alliance (RTA), a group of organizations working to advance type 1 diabetes care through data-driven, patient-centered care. Children’s Mercy founded RTA and continues to house its technical and data efforts. The Senior Data Engineer will help lead the technical development of the Diabetes Data Dock, a diabetes-focused data intelligence platform built in Microsoft Azure and Databricks. The platform supports work including clinical outcome prediction and ingestion and monitoring of patient-generated health data. This is an intermittent remote position. The employee will coordinate with their manager on a schedule that includes both work from home and on-site hours at a Children’s Mercy location, and must live in the Kansas City metro area. Seasonal influenza vaccination is a condition of employment; new employees must also be willing to receive specified vaccinations if found non-immune or without evidence of vaccination. Medical and religious exemptions may be discussed with Human Resources.

Requirements

Master’s degree in Healthcare Data Science or a similar field and 3–5 years of experience in data engineering, including cloud-native development, distributed systems, and data architecture, or related experience; or
Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science, or a similar field and 5–7 years of experience in data engineering, including cloud-native development, distributed systems, and data architecture, or related experience.
Must live in the Kansas City metro area.
Must be willing to receive required vaccinations if found non-immune or lacking evidence of specified vaccinations; medical and religious exemptions may be discussed with Human Resources.

Responsibilities

Lead the design, implementation, and integration of data platform pipelines and processes in partnership with stakeholders and architects.
Design and deliver scalable, cloud-native data pipelines aligned with business and analytics goals.
Translate stakeholder requirements into technical solutions and own end-to-end workflow implementation.
Partner with architects to evolve platform capabilities and integrate emerging technologies.
Optimize pipelines for performance, reliability, and maintainability.
Establish automated testing frameworks and implement monitoring tools to ensure data accuracy and reliability.
Lead debugging efforts and conduct code reviews.
Collaborate with analysts and architects to meet business and compliance standards and continuously improve pipeline performance and maintainability.
Research modern practices, lead proof-of-concept initiatives, and mentor team members.
Participate in professional development and knowledge sharing, and contribute to platform strategy through cross-functional collaboration and thought leadership.