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  • Data Engineer IV

    Omnicell (Cranberry Township, PA)



    Apply Now

    Engineer IV, Software** **– Big Data

     

    Omnicell is the world leader in pharmacy robotics, and we’re expanding beyond inventory management into inventory analytics. The OmniSphere helps hospitals and health systems understand how meds flow through their business, from the loading dock to the nurse’s glove, and then apply clinical expertise and advanced machine learning to uncover opportunities to adjust that flow to improve safety, cost, efficiency, and patient outcomes. And the next step for us is to help busy clinicians act on those opportunities by building efficient, industry-leading workflows.

     

    To do that, we take terabytes of data from thousands of devices and translate it to simple, actionable steps our clients can take to improve their overall performance.

    Responsibilities

    + Translating business requirements into effective technology solutions

    + Participate in sprint planning and grooming sessions to ensure technical leadership thoughts are aligned with business requirements and immediate organization values are prioritized

    + Help lead the design, architecture and development of the Omnicell Data Platform

    + Conduct design and code reviews

    + Help pioneer the data-platform into self-serve architecture that can be reusable throughout the organization

    + Resolve defects/bugs during QA testing, pre-production, production, and post-release patches

    + Analyze and improve efficiency, scalability, and stability of various system resources once deployed

    + Provide technical leadership to agile teams – onshore and offshore: Mentor junior engineers and new team members, and apply technical expertise to challenging programming and design problems

    + Help define the technology roadmap that will support the product development roadmap

    + Continue to improve code quality by tracking, reducing and avoiding technical debt

    + Improve our processes, technology and culture by being inquisitive and engaging in order

    + Focus on always putting the customer first

    Required Knowledge** **&** **Skills

    + Deep development experience of distributed/scalable systems and high-volume transaction applications, participating in architecting big data projects

    + Exceptional hands-on experience using Python, Scala and SQL to be able to set up wrappers, libraries and modules that are both scalable and reusable by the data-platform and external Analytic Engineers.

    + Expert in using data technologies such as: Databricks or Snowflake, Apache Spark, Structured Streaming,

    + Excellent analytical and problem-solving skills.

    + Energetic, curious, motivated self-starter that is eager to excel with excellent interpersonal skills.

    + Expert in knowing a balance driving the right architecture but realizing the realities of having customers and the need to ship software

    + Understanding of GIT and production-oriented software development

    + Experience developing with streaming ingestion such as Apache Kafka or Amazon Kinesis

    Basic Requirements

    + Bachelor’s degree preferred; may consider relevant experience in lieu of a degree

    + 8+ years’ experience in software engineering with a degree; 12+ years’ experience in software engineering in lieu of a degree

    Preferred Knowledge & Skills

    + Understanding of Database Architecture for schema management and deployments, Data Governance for fine grained access control and enablement best practices

    + Hands-on working experience in cloud infrastructure like AWS.

    + Data visualization tools such as: Tableau, PowerBI, or equivalent

    + Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O

    + Experience with Declarative Pipelines, Lakeflow Jobs,

    + Experience with healthcare specific data exchange formats including HL7 and FHIR.

    + Experience with CI/CD tools: git, Atlassian bitbucket, codefresh pipelines or equivalent

    Work Conditions

    + Remote, team collaborative hours between 8am to 4pm EST

    + Ability to travel 10% of the time

     

    All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

     


    Apply Now



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