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    Enterprise Data Architect - Philadelphia, United States - eTeam

    eTeam
    eTeam Philadelphia, United States

    3 weeks ago

    eTeam background
    Description

    POSITION TITLE: Senior Software Engineer- Data Science

    Location: Philadelphia PA HYBRID: Flexible - will discuss directly with manager during the interview process

    DURATION: 7+ months through 2024 (Potential for Extension)

    Pay Range:$88.04/hr on W2

    The Onyx Research Data Platform organization represents a major investment by client R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

    Building a next-generation data experience for Clients scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on data mechanics

    Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent

    Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time

    An Onyx Engineer is a technical contributor who enjoys solving complex problems as part of a collaborative and agile team. We are seeking engineers who are passionate about technology and learning, as well as supporting DevOps tooling to enable other engineering teams to operate with a DevOps ethos. As a DevOps Engineer in Onyx, you will be part of a team that is driving change at Client.

    Collaborate closely with Product and Engineering teams to build new features and capabilities for our services

    Propose and define good engineering practices to be adopted by the organization

    Work in a multi-disciplined engineering team to deliver capabilities that empower other platform and engineering teams

    Continuously and proactively identify and develop areas to improve monitoring/alerting, reliability, performance, and automation

    Develop automated solutions and integrations to enable fluid self-service flows

    Write, review, and maintain code written in JavaScript/TypeScript (Node), golang, and python

    Automate away the process of managing capacity, safely deploying software, and mitigating system failures

    Continuously learn by staying up to date on the latest technology trends in our space, feed recommendations back to the teams with RFCs (Request for Comment)

    EDUCATION AND JOB-RELATED EXPERIENCE REQUIRED (Minimum):

    PhD + 2 years, Masters + 4 years, Bachelors + 6 years

    Deep knowledge and use of at least one common programming language: e.g., Python, Ruby, JavaScript/TypeScript, go, including toolchains for documentation, testing, and operations / observability

    Expertise with non-imperative programming paradigm

    Deep expertise in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, ...)

    Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure-as-code

    Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, GitHub Actions, Azure DevOps, CircleCI, GitLab)

    Solid understanding of and experience with networking, virtualization, storage, containers, and serverless

    Expertise in designing highly available and scalable systems, implementing performance monitoring on those systems

    Demonstrated excellence with agile software development environments using tools like Jira and Confluence

    Deep familiarity with the tools, techniques, etc relevant to their specialization area, including engagement with the open source community (and potentially making contributions to such tools)

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