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Job description

Role: Senior Data Engineer with ML and Health Care domain experience
Location: Remote
Duration: Long term
Rates: DOE

Candidate must have Healthcare domain experience

The individual will design, implement, and support data processing software and infrastructure.

What you will do

Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team
Understand the requirements of data processing and analysis pipelines and make appropriate technical design and interface decisions. Elucidating these requirements will require training, developing, and validating researcher-built or vendor provided machine learning algorithms on hospital data as well as working with other members of the data science team.
Understand data flows among the client's applications and use this knowledge to make recommendations and design decisions for languages, tools, and platforms used in software and data projects.
Troubleshoot and debug environment and infrastructure problems found in production and non-production environments for projects by the Data Science Team.
Work with other groups at client and the Technology and Digital Solutions (TDS) group to ensure servers and system maintenance based on updates, system requirements, data usage, and security requirements

Education Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related, or equivalent working experience

Experience Qualifications

8+ years' experience in building data infrastructure for analytics teams, including ability to write code in SQL, R, or Python for processing large datasets in distributed cloud
environments
Experience with cloud deployment strategies and CI/CD
Experience building and working with data infrastructure in a SaaS environment

Preferred Knowledge, Skills and Abilities

Knowledge of multiple programming languages, commitment to choosing languages based on project-specific requirements, and willingness to learn new programming languages as necessary.
Knowledge of resource management and automation approaches such as workflow runners.
Collaborative mentality and excitement for iterative design working closely with the Data Science team.

Required profile