This is a remote 3-month part-time contract position that could become permanent. Work week is 7 hrs per day - 35 hrs per week.
Our client is a Higher Ed institution in Boston and is a joint center for health systems innovation at a local hospital and the institution. The 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. They currently have research programs in the areas of childbirth, surgery, palliative care, and primary health care. Under the supervision of the Platform Manager, Computer Science the Data Engineer is responsible for helping support the entire product line for client and its programs. A primary focus of this role will be development of a scalable data architecture, reusable data pipelines and development and support of analytical reports for end users, but it is expected that the individual will contribute across the tech stack - UI, backend and the cloud infrastructure. This is an excellent opportunity for the individual 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 client's 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.
● Work collaboratively with Science and Technology and project teams to design and build scalable, resilient and distributed applications. ● Develop and maintain 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 ● Provide constructive feedback on data architecture design and data model decisions ● Design and implement RESTful APIs and internal tools. ● Implement high quality and reusable UI components from UI/UX designs ● Take part in monitoring and benchmarking of test and production systems. ● Provide foresight while planning sprints and product roadmap
Required qualifications are:
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The job skills required for Data Engineer include SQL, Python, ETL, AWS, Computer science,and Data Modeling etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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