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    Data Engineer - Danvers, MA, United States - Johnson & Johnson

    Johnson & Johnson
    Johnson & Johnson Danvers, MA, United States

    1 month ago

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    Full time
    Description

    Abiomed, part of Johnson & Johnson MedTech, is a leading provider of medical devices that provide circulatory and respiratory support, with a mission of recovering hearts & saving lives.

    Our innovative product portfolio and robust pipeline provide us the incredible opportunity to bring lifesaving technology to more patients around the world than ever before.

    Founded in 1981, Abiomed has a proven track record for growth, integrity and innovation.
    Patients First | Innovation | Winning Culture | Heart Recovery

    The Data Engineering Co-op will assist developers and testers in the production of a new medical device product aimed at improving the patient care by providing enhanced visual metrics and trends relating to the patient's health.

    This will include software development, testing, and manual verifications of the medical device in a simulated cath lab environment.

    The co-op will attend daily stand-up meetings, perform code reviews, write software, and work closely with other teams to generate a quality patient-care product.

    Conduct manual testing for the embedded software for the medical device
    Create automated test scripts for integration testing of the device software
    Participate in daily meetings with other scrum team members
    Create bug reports for defects in the software and test bug fixes
    Student pursuing a degree in computer science, data science, data engineering, software engineering, biomedical engineering, or related field
    Knowledge of basic programming languages (JavaScript, Python, C#, Elixir/Erlang, etc.)
    Knowledge of database languages such as SQL
    Knowledge of software containers and Docker/Kubernetes is a plus
    Knowledge of software test frameworks (Cypress/Mocha/Jasmine/Pytest/Junit) is a plus

    Abiomed will not discriminate against any worker or job applicant on the basis of race, color, religion, gender, gender identity, national origin, ancestry, age, sexual orientation, gender identity, marital or civil partnership status, pregnancy, gender reassignment, non-job related mental or physical disability, genetic information, veteran status, military service, application for military service, or membership in any other category protected under law.

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