Software Engineer - Menlo Park, United States - CTP

    CTP
    CTP Menlo Park, United States

    3 weeks ago

    Default job background
    Description

    Job Title:
    Sr Staff Engineer, Data Engineering

    Location:
    San Francisco (Embarcadero) or Menlo Park (San Hill Road) – MUST BE ONSITE 4 DAYS A WEEK.


    The Company:


    Headquartered in Menlo Park, this Venture Capital firm is one of the leading later-stage VC firms investing in both enterprise and consumer technology companies.

    They are in the process of building out their data analytics capabilities to better service their portfolio companies with robust market insights.


    Platform / Stack:
    You will work with technologies that include Python, AWS and Snowflake.

    Compensation Expectation

    :
    $200,000 – $250,000


    What You'll Do As a Staff Engineer:
    Co-lead the firm's AI/ML initiatives
    Communicate with stakeholders to understand business problems and design features to solve them
    Become a subject matter expert on the firm's business and its data
    Lead the implementation and development of the firm's data warehouse
    Develop and enhance the firm's custom sourcing application
    Build data pipelines from various data sources and maintain the data warehouse
    Build data visualizations and prepare reports to present to the investment team and leadership

    Qualifications

    You could be a great fit if you have:

    10+ years of experience in software engineering
    6+ years of experience in data engineering and architecting data centric solutions
    Proven self-starter, highly motivated, detail-oriented, and entrepreneurial
    Expertise in multiple programming languages (Python, Ruby, Go, etc.)
    Expertise in SQL databases (Postgres, etc.)
    Strong analytical skills with the ability to organize and analyze large amounts of information with attention to detail and accuracy
    Experience using statistical packages for analyzing datasets
    Experience working, developing, and integrating AI/LLM tools into various applications/platforms
    Experience working with BI tools (Omni, Sigma, etc.) or notebooks (Observable, Hex, etc.)

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