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Job Location: Cambridge, MA
Data Engineer
Hybrid: 2 days a week on site or Fully Remote
Location: Cambridge, MA
Responsibilities
● Work collaboratively with the Science and Technology platform and project teams to
design and build scalable, resilient, and distributed applications.
● Develop and maintain a scalable data architecture.
● Implement and maintain data quality and integrity across programs.
● Develop and maintain reporting and ETL environments and support the needs of
end-user analysts.
● Work directly with researchers, analysts, program directors, and other end-users to
gather feedback, align on requirements, and communicate dependencies.
● Provide constructive feedback on data architecture design and data model decisions.
● Design and implement RESTful APIs and internal tools.
● Take part in monitoring and benchmarking test and production systems.
● Provide foresight while planning sprints and the product roadmap.
Required qualifications
● 4+ years of professional experience building products with a focus on data (SQL or
NoSQL) and advanced knowledge of SQL.
● Professional experience in one or more programming languages- Python, JavaScript,
Java, C#, Go…, for example.
● Experience in both Object Oriented and Functional programming paradigms.
● Professional experience using both relational databases (SQL) and NoSQL data stores.
● Ability to pitch in on various database-related tasks, depending on the need.
● Solid understanding of data modeling techniques.
● Competency working within Linux environments.
● Strong communication skills, including experience collaborating with technical and
non-technical partners.
Preferred qualifications
● Experience with Reporting/ETL tools.
● Experience creating products that use one or more AWS service.
● Understanding of best practices in networking and security.
● Familiarity with Linux containers and virtual machines is a plus.
● Familiarity with scripting languages (bash/python/ruby) is helpful.
● Demonstrated curiosity about the data and the business processes.
● Understanding of research and the scientific process, particularly in the healthcare
domain.
● Experience working in a matrix organization.
● Background in computer science or a related field.
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