Sr Data 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 Sr. Data Engineer is responsible for designing, building, and optimizing scalable data solutions that support Children's Mercy analytics and operational needs. This role leads the development of modern, cloud-native data pipelines and contributes to the evolution of the data platform architecture. The Sr. Data Engineer collaborates across teams to ensure data quality, governance, and performance, while mentoring peers and driving innovation in data engineering practices.

 

It is preferred that candidates live in Kansas or Missouri. 

 

Ideal candidates will have experience with Azure Databricks, Azure Data Factory. Experience in Python, SQL, Spark and Terraform are also important to this role. 

 

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

• Develop data platform pipelines and processes through leading design, implementation, and integration by partnering with stakeholders and architects to integrate emerging technologies. Senior Data Engineers lead the design and delivery of scalable, cloud-native data pipelines that align with business and analytics goals. They collaborate with stakeholders to translate requirements into technical solutions, own end-to-end workflow implementation, and partner with architects to evolve platform capabilities. Work includes integrating emerging technologies and optimizing pipelines for performance, reliability, and maintainability.
• Perform thorough testing of processes to ensure continuous accuracy and reliability. Senior Data Engineers ensure data accuracy and reliability by establishing automated testing frameworks and implementing monitoring tools. They lead debugging efforts, conduct code reviews, and collaborate with analysts and architects to meet business and compliance standards, continuously improving pipeline performance and maintainability.
• Proactively maintain technical competency through professional development and cross-functional collaboration. Senior Data Engineers maintain technical expertise by researching modern practices, leading proof-of-concept initiatives, and mentoring team members. They actively engage in professional development, contribute to knowledge sharing, and influence platform strategy through cross-functional collaboration and thought leadership.

Qualifications

• Master's Degree in Healthcare Data Science or similar and 3-5 years 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 similar and 5-7 years experience in data engineering, including cloud-native de