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Data Engineer

A nonprofit authorized by Congress to support CDC's health protection mission through partnerships.
Cleveland, OH, USA
$103,500 - $143,500
Data
Mid-Level Software Engineer
Remote
501 - 1,000 Employees
3+ years of experience
Healthcare
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Description For Data Engineer

The CDC Foundation is seeking a Data Engineer to join their Workforce Acceleration Initiative (WAI), a federally funded program aimed at enhancing public health agencies' technological capabilities. This role, based remotely but working with the Cleveland Department of Public Health (CDPH), focuses on designing and maintaining data infrastructure critical to public health surveillance and analytics.

The position offers a competitive salary range of $103,500-$143,500 and is grant-funded through June 30, 2024. The Data Engineer will work within the Office of Epidemiology and Population Health, collaborating with the Office of Urban Analytics & Innovation to establish and maintain robust data infrastructure.

Key responsibilities include developing data pipelines, performing data linkages with geospatial assets, implementing ETL processes, and ensuring data security and quality. The ideal candidate should have experience with Python, Java, or R programming, cloud services (preferably Azure Databricks), and data integration frameworks.

The CDC Foundation has an impressive track record, having raised over $1.9 billion and launched more than 1,300 programs addressing various health threats. This role offers an opportunity to contribute to meaningful public health initiatives while working with cutting-edge data technologies. The position combines technical expertise with public health impact, making it ideal for data professionals passionate about making a difference in healthcare and public welfare.

The role requires both technical proficiency and strong collaborative skills, as the engineer will work closely with epidemiologists, data analysts, and other stakeholders. This position offers the flexibility of remote work while being part of an organization that plays a crucial role in protecting public health at both national and global levels.

Last updated 20 days ago

Responsibilities For Data Engineer

  • Design, build, and maintain data infrastructure for public health organization
  • Enable data integration and data preparation pipelines for downstream analytics
  • Utilize software engineering methods and tools on data analytic platform
  • Perform data linkages between public health surveillance data and geospatial data assets
  • Create and manage systems and pipelines for data flow
  • Implement ETL processes and security measures
  • Design and manage data storage systems
  • Monitor data pipelines and systems for performance issues
  • Collaborate with data scientists and analysts
  • Document data transformation processes

Requirements For Data Engineer

Python
Java
  • Bachelor's degree in computer science or information systems, or equivalent experience
  • Demonstrated ability in complex data management and data preparation
  • Experience working with data integration frameworks
  • Experience working with cloud services & infrastructure (Microsoft Azure Databricks preferred)
  • Experience in designing, writing, and delivering code (Java, Python, R)
  • Ability to thrive in a project-based, team environment
  • Spatial data experience preferred (geopandas or ArcGIS)

Benefits For Data Engineer

  • Benefits package offered (details not specified)
  • Remote work arrangement for U.S. based candidates

Interested in this job?