Base: $83,200.00-$137,280.00; bonus/equity: not sp...
On-site
Implement robust data pipelines
Develop and maintain data warehouse models
Ensure data quality, security, and integrity
Lurie Children's Hospital is seeking a Data Engineer to implement and maintain data infrastructure to support pediatric care. This role requires collaboration with various teams to manage data pipelines and ensure data quality, all while contributing to a mission-driven environment focused on children's health
Job Summary
The Data Engineer is responsible for implementing and maintaining the data infrastructure and systems that enable storage, retrieval, and processing of large volumes of data within the organization.
This role involved working creatively and collaboratively with product managers, business analysts, and peer data engineers to ensure the availability, reliability, and efficiency of data pipelines and databases.
At Lurie Children’s, we embrace and celebrate building a team with a variety of backgrounds, skills, and viewpoints — recognizing that different life experiences strengthen our workplace and the care we provide to the Chicago community and beyond.
Matching Summary
Match Score: 85
Lurie Children's Hospital is seeking a Data Engineer to implement and maintain data infrastructure to support pediatric care. This role requires collaboration with various teams to manage data pipelines and ensure data quality, all while contributing to a mission-driven environment focused on children's health.
Salary
Base: $83,200.00-$137,280.00; Bonus/Equity: Not specified; Benefits: Comprehensive rewards package including health, retirement, and wellbeing programs
Skills & Requirements
Must-have
Implement robust data pipelines
Develop and maintain data warehouse models
Ensure data quality, security, and integrity
Proficiency in Python, Java, C#, or Scala
Knowledge of data management architectures
Knowledge of big data technologies
Knowledge of cloud platforms (AWS, GCP, Azure)
Nice-to-have
Collaborate with data scientists and analysts
Stay up-to-date with emerging technologies
Effective communication and collaboration skills
Key Requirements
Bachelor's degree in a quantitative field
2+ years experience in data management disciplines
Knowledge of hybrid deployments (Cloud and On-Premises)
Strong problem-solving and analytical thinking abilities