help clients find answers in their data to impact important missions
build advanced technology solutions and implement data engineering activities on mission-driven projects
deploy and develop pipelines and platforms that organize and make disparate data meaningful
manage the assessment, design, building, and maintenance of scalable platforms for clients
work with and guide a multi-disciplinary team of analysts, data engineers, clinical SMEs, developers, and data consumers in a fast-paced, agile environment

3+ years of experience with PySpark and SQL
3+ years of experience with Azure Databricks
3+ years of experience retrieving, parsing, and processing structured and unstructured data
3+ years of experience building scalable ETL or ELT workflows for reporting and analytics
Experience supporting collaborative, cross-functional technical teams
Ability to communicate complex analytic concepts to clinical and public health stakeholders
Ability to develop scripts and programs for converting various types of data into usable formats, and support the team in scaling, monitoring, and operating data platforms
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree

Data Engineer

Key skills