Job Location: Boston, MA
Job Title: Data Engineer
Location: Boston, MA 02215
Duration: 3 months
Description
Ariadne Labs is a joint center for health systems innovation at Brigham and Women’s Hospital and the Harvard T.H. Chan School of Public Health. Our goal is to drive scalable solutions for better care at critical moments in people’s lives everywhere. Better care means better health outcomes, lower costs, and more actual caring. Critical means solving health systems failures that have major impact, typically touching people by the millions. Ariadne Labs currently has research programs in the areas of childbirth, surgery, palliative care, and primary health care.
Under the supervision of the Computer Science Platform Manager, the Data Engineer will be responsible for helping support the entire product line for Ariadne Labs and its programs. A focus of the role will be on the development of a scalable data architecture, the development of reusable data pipelines, and the development of analytical reports for end users. It’s also expected that the individual will contribute across the tech stack, supporting back-end development and our cloud infrastructure. This is an excellent opportunity to learn and develop new skills in data architecture, architecting scalable applications, platform development, electronic medical data, mobile deployments, analytics, and healthcare technologies.
As part of the Labs’ matrix structure, the Data Engineer will sit on the Computer Sciences team within the Science & Technology platform and will work with research teams in a variety of health domains such as surgical safety, palliative care, safe childbirth, and primary healthcare.
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.
Our Values Our Core Values Are
- Respect for the Ariadne Labs mission, our community, each other, and ourselves;
- Stewardship of our work and resources;
- Pursuit of excellence, with a focus on continual improvement;
- A belief in a collaborative, multidisciplinary approach to our work;
- A commitment to meaningful diversity and inclusion in our work and in the Ariadne Labs community
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