Data Engineer (*grant Funded)

Lurie Children's Hospital

River North, IL, United States
Base: $83,200.00-$137,280.00; bonus/equity: not sp...
Hybrid
Implement robust data pipelines
Develop and maintain data warehouse models
Ensure data quality, security, and integrity
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

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.
  • Implement robust data pipelines to ingest, process, and transform healthcare data from various sources, including electronic health records (EHR), claims data, and medical devices, into the Lurie Data Lake.
  • Lurie Children’s offer a comprehensive rewards package that may include differentials for some hourly employees, leadership incentives for select roles, health and retirement benefits, and wellbeing programs.

Matching 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.

Salary

Base: $83,200.00-$137,280.00; Bonus/Equity: Not specified; Benefits: Comprehensive rewards package

Skills & Requirements

Must-have

  • Implement robust data pipelines
  • Develop and maintain data warehouse models
  • Ensure data quality, security, and integrity
  • Big data technologies like Hadoop, Spark, or Kafka
  • Cloud platforms such as AWS, GCP or Azure

Nice-to-have

  • Collaborate with product managers and business analysts
  • Stay up-to-date with emerging technologies
  • Effective communication and collaboration skills

Key Requirements

  • Bachelor's degree in a quantitative field
  • 2+ years of data management experience
  • Proficiency in Python, Java, C# or Scala
  • Knowledge of data management architectures
  • Knowledge of data processes like data governance
  • Knowledge of hybrid deployments: Cloud and On-Premises

Work Rights

Not specified

Tailored Resume

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