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    Data Engineer - Silver Spring, United States - Competitive Power Ventures

    Competitive Power Ventures
    Competitive Power Ventures Silver Spring, United States

    1 week ago

    Default job background
    Description
    Competitive Power Ventures, Inc.

    ("CPV"), with headquarters in Silver Spring, MD, and offices in Braintree, MA and Sugar Land, TX, is uniquely positioned to leverage global technology and financial partnerships to help modernize America's power generation.

    We are driven to improve our energy infrastructure by developing and operating power generation facilities using cutting edge, domestically available natural gas, and renewable power technology.

    CPV is owned by OPC Energy, the first privately held electric company in Israel.

    OPC Energy became a public company in August 2017 and is traded on the Tel-Aviv Stock Exchange (TASE:
    OPCE).
    CPV is seeking a Data Engineer to join our Information Technology Department in our Silver Spring, MD office.
    The Data Engineer will be responsible for maintaining, upgrading, and administrating the Renewable SCADA infrastructure and supporting systems.

    They will also be responsible for training, testing, and deploying a machine learning (ML) platform for OT related business processes and troubleshooting.

    The candidate should have a proficient background in energy systems (ICS/DCS), plant communication/operation equipment (RTU, PPC), and communication protocols including DNP3, ICCP, and Modbus.

    Additionally, this engineer will have proficiency in Windows workstation & server administration.
    Responsibilities

    Perform ongoing system administration, maintenance, and upgrade activity within and surrounding the Automation Induction Ignition and OSII Monarch platforms.
    Perform routine hardware & firmware maintenance and troubleshooting on renewable SCADA servers, workstations, PPC, RTU, and supporting system controllers.
    Maintain IoT communication appliances for renewable data analytic systems such as Power Factors and Bazefield.
    Pull datasets for internal & external stakeholders from renewable SCADA databases such as Mongo or MariaDB.
    Troubleshoot system related issues and collaborate with team leader to satisfy engagements with CPV Energy Management.
    PI, PI Process Book, and PI Vision maintenance as it pertains to integration with the SCADA (Ignition/Monarch) platforms.

    Generate new data entries as required to satisfy internal and external stakeholders to include CPV plants, utilities, RTO, or PPA partners.

    Aid the department head in the designing, developing, and deployment of AI models based on training data sets or using generative AI within the company policy standards.

    Leverage Azure Cloud services to build OT/IT solutions that meet the specific needs of the organization.

    Aid the team leader in advancing AI driven workflow by collaborating with cross-functional teams to improve the efficiency of the Monday task management platform.

    Support CPV and CPV assets in NERC best practices and NERC related cyber security.
    Dependable, reliable, and predictable attendance is required along with 24/7 on-call duties to support all EMS/SCADA related system issues.

    Qualifications and Preferred Skills:
    Associate degree or equivalent education in Power Engineering, Computer Science, Information Systems, Engineering, or related field

    One of the following:
    Five (5) or more years of energy generation, manufacturing, or industrial experience, OR;

    Two (2) or more years of EMS/GMS/SCADA, Control/Operations Center or plant SCADA engineering with an emphasis on Automation Induction Ignition and/or OSII Monarch .

    NET architecture experience is preferred

    Strong understanding of OSI PI, PI Process Book and/or PI Vision
    Proficiency in Windows Workstation/Server Active Directory and Office O365
    Experience with Mark VIe, T3000, DNP3, C37.188, and Modbus protocols is a plus
    Experience with SEL RTU 3530 and or 3555 and acSELerator QuickSet software preferred
    Familiarity with prompt engineering, data modeling, and machine learning
    Background in Azure Cloud, Azure AI, Mongo/MariaDB, or Python is a plus
    Must be able to lift and carry up to 25 lbs.
    Excellent written and verbal communication skills
    Able to adapt to a flexible work schedule at times to support system administration maintenance, upgrades, and emergency issues for the SCADA infrastructure
    Ability to travel up to 10% of time
    Exhibit a professional demeanor that aligns with our core values
    Must pass a pre-employment criminal background check and financial credit check

    CPV holds all employees to the highest ethical standards and is committed to conducting business with integrity, transparency, and honesty to ensure our success.

    #J-18808-Ljbffr


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