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Manager of Data Engineering (Machine Learning & Privacy)

NxT Level

Manager of Data Engineering (Machine Learning & Privacy)

Seattle, WA
Paid
  • Responsibilities

    MANAGER OF DATA ENGINEERING (MACHINE LEARNING & PRIVACY), SEATTLE

    We have a client looking for a hands-on technical leader to work with a company in Seattle working on privacy intelligence software. We are looking for a manager to lead the data engineer team focused on building backend services for machine learning and privacy.

    RESPONSIBILITIES;

    You live and breathe data. You are a passionate software developer who loves being at the intersection of computer science, distributed computing, cloud computing, machine learning, natural language processing, data mining, and new data visualization techniques. You are familiar with the latest open source tools and leverage them to create innovative and cutting-edge data solutions for visualization. You can work with ambiguity, collaborate, play nice in a fun startup team environment and pitch your ideas and get them to the finish line.

    THE OPPORTUNITY:

    • Build the next generation world-class data privacy risk analytics platform and data solutions, at scale, with cutting-edge visualizations to reveal key insights for all our enterprise stakeholders and cloud partners.
    • Build Lego-like microservices infrastructure in establishing a highly scalable performant data pipeline to handle both data at rest and data at motion, both on cloud and on-premise.
    • You will be able to work on a team with a handful of great senior engineers ready to share their knowledge and experience and together build a next-generation data risk intelligence solution.

    REQUIREMENTS;

    • 10+ years of Java software engineering experience
    • Strong understanding and experience with object-oriented programming (OOP), Java or Scala.
    • Knowledge of big data and data pipeline principles and high-performance distributed systems; experience with Kafka, Storm, and Hadoop.
    • Experience with processing structured, semi-structured, unstructured data formats
    • Experience working with and orchestrating containers (Docker, Mesos, Kubernetes)
    • Experience with processing structured, semi-structured, unstructured data formats

    COMPANY DNA:

    • We roll up our sleeves and do what we need to do to get things done
    • We check our Egos the door
    • We value and respect each other’s diversity
    • We empower each other’s contributions
    • We have a lot of fun while we build something amazing