Lead Data Platform Engineer

Thanks for your interest in Children's Mercy!

Do you envision finding a meaningful role with an inclusive and compassionate team? At Children’s Mercy, we believe in making a difference in the lives of all children and shining a light of hope to the patients and families we serve. Our employees make the difference, which is why we have been recognized by U.S. News & World Report as a top pediatric hospital, for eleven consecutive years.

 

Children’s Mercy is in the heart of Kansas City – a metro abounding in cultural experiences, vibrant communities and thriving businesses. This is where our patients and families live, work and play. This is a community that has embraced our hospital and we strive to say thanks by giving back. As a leader in children’s health, we engage in meaningful programs and partnerships throughout the region so that we can improve the lives of children beyond the walls of our hospital.

Overview

The Lead Data Platform Engineer is responsible for the development, configuration, maintenance, testing, and monitoring of processes and products in support of our enterprise data platform. This role shares in the ownership of our data platform, building and positioning it as a crucial pillar of executing the Data Strategy for Children's Mercy Hospital.

 

• This role will primarily work in a Databricks environment.
• Machine Learning Operations (ML-Ops) experience strongly desired. The ideal candidate will have experience implementing AI models, along with the safeguards to make sure they run smoothly with continuous system monitoring to maintain model performance.
• This is a Fully Remote role. Candidates must be able to work in the U.S. without sponsorship. 

The ideal candidate will have:

• Proficiency in data architecture, data warehousing, and/or schema design

• Proficiency with Spark/Scala, Kafka, Python, etc. with hands-on in data interchangeable formats like JSON

• Experience working with structured and semi-structured data architectures

• Experience working with object-oriented languages

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

• Expertise in developing scalable ETL pipelines and processes

• Experience with Change Data Capture (CDC)

• Experience with Fast Healthcare Interoperability Resources (FHIR) integrations

• Understanding of agile methodology and software development lifecycles

• Proficiency in Databricks and HL7 messaging standards

• Experience with Azure cloud services

• Microsoft Azure Fundamentals or Data Engineering certification – Preferred

• Exposure to Terraform, Airflow, and/or similar

• Experience with Tableau, Power BI, or similar

• Experience communicating technical problems and solutions to non-technical audiences

 

At Children’s Mercy, we are committed to ensuring that everyone feels welcomed within our walls. A successful candidate for this position will join us as we strive to create a workplace that reflects the community we serve, as well as our core values of kindness, curiosity, inclusion, team and integrity.

 

Additionally, it’s important to us that we remain transparent with all potential job candidates. Because we value the safety of the patients and families we serve, as well as the Children’s Mercy staff, we want to let you know that the seasonal influenza vaccine is a condition of employment for all employees in our organization. New employees must be willing to be vaccinated if found non-immune to measles, mumps, rubella (MMR) and chicken pox (varicella) and/or without evidence of tetanus, diphtheria, acellular pertussis (Tdap) vaccination since 2005. If you are selected for this position, you will be asked to supply your immunization records as proof of vaccination. If you and have any concerns about receiving these vaccines, medical and/or religious exemptions can be further discussed with Human Resources.

Responsibilities

• Design, implement, and maintain data pipeline integrations and solutions, incorporating on-premise with highly scalable cloud computing as well as large-scale data stores, including data lakes, data warehouses, and data marts.
• Work collaboratively to ensure a high standard of quality for the data platform, ranging from operational efficiency to the qualitative accuracy of our data.