Data Engineer
California
Job Highlights ¡ Location: Remote, must be based in the United States ¡ Salary Range: $103,500-$143,500 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate. ¡ Position Type: Grant funded, limited-term opportunity ¡ Position End Date: June 30, 2025
Overview
- The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data interfaces for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nationâs public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements. Working within the Public Health Information Systems (PHIS) division under Los Angeles County Department of Public Health (LA DPH), the Data Engineer will deliver the architecture needed for data generation, storage, processing, and analysis. The Data Engineer will collaborate with HL7 SMEs, data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency. Projects the Data Engineer will support include: contributing to the transition of legacy disease surveillance and laboratory information management systems into a unified platform; improving connectivity for electronic case reporting (eCR) and Electronic Lab Reporting (ELR), exchanged with key interested parties using the AIMS platform; refining data ingestion from hospitals and the state department of public health; and transitioning a data pipeline pilot to production on Azure and integrating âŚ
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Fully remote Must be based in the United States
Benefits/PerksFully remote Grant funded opportunity Health protection mission Remote work Remote work arrangement
Tasks- Gather requirements
- Implement security measures
- Optimize data pipelines
- Present findings
- Provide technical guidance
AWS Azure C Cloud Computing Collaboration Data analysis Data engineering Data Infrastructure Data ingestion Data Integration Data Pipelines Data privacy Data processing Data Security Data storage Engineering FHIR HL7 Implementation Information Technology Infrastructure Interoperability Java Javascript Microsoft Azure Mirth MySQL PostgreSQL Public health Python R Reporting Rhapsody SQL Training
Experience3 years
EducationBachelor's Bachelor's degree Bachelor's degree in Computer Science Computer Science Data Science Information Systems Information Technology Public health Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9