Data Engineer, Financial Reference Data - Chicago, United States - Teza Technologies

    Teza Technologies
    Teza Technologies Chicago, United States

    2 weeks ago

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    Description
    About Teza

    Teza is a systematic quantitative hedge fund.

    Every day we translate complex mathematical concepts into financial strategies trading on the world's largest markets with synergy between people and technology.

    There's nothing more important to us than collaborative research, uniting the brightest minds on the planet.

    With offices in six time zones, we never skip a beat – trading 24/7, with holding periods from milliseconds to months.

    Location

    Chicago, IL (Hybrid mode with 3 days in-office requirement)

    About The Role

    Teza Technologies is looking for a Data Engineer to join our core services technology team. Data drives systematic trading and is critical to all aspects of the firm's business.


    This is a hands-on position on a small team of data engineers with significant growth potential, as this team will grow rapidly over the next couple of years.

    The firm is looking for outstanding technical skills, strong attention to detail, and experience architecting and building data platforms.

    Key Responsibilities

    Timely onboarding of structured and alternative data vendors
    Communicate with quantitative researchers and other end-users to understand their requirements and potential future requests
    Investigate vendor data thoroughly to become a subject matter expert on its characteristics and irregularities
    Design and implement efficient reusable ETL processing components using cutting edge technologies, and write robust tests for on-going quality control
    Build flexible APIs in iterations with end-users to ensure their needs are met

    Enhance existing data infrastructure and services:
    Optimize data IO and load balancing for grid computation
    Automate data storage management

    Basic Requirements

    Strong programming skills, preference for Python and Java
    Proficient with SQL
    Detail oriented approach
    Experience supporting Financial Products/Reference Data is a big plus

    Nice To Have Requirements

    Experience with AWS, Hadoop, Spark would be a plus

    What You'll Get

    Working with world-class Quantitative Traders to bring strategies to market
    Opportunity to work with the best and the brightest in the industry
    To offer and implement the best practices and have major impact
    Challenging tasks to help you grow professionally
    Open door culture

    What Makes You a Match

    You are experienced data practitioner
    You confidently communicate technical ideas
    Difficult problems make you excited
    You are not afraid of the unknown and love to learn
    You have A LOT of passion and drive

    Benefits

    Health, life and disability insurance
    Flexible sick time policy
    Office lunch and snacks

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