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    Data Engineer

    • Loyal
    • Full time
    • San Francisco, California
    • Posted: January 26, 2021
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    Company
    Loyal

    Description

    Data Engineer

    Loyal is a seed stage company developing drugs to help dogs live longer, healthier lives. We see aging as a disease that is able to be slowed and improved with medicines. Loyal was spun out of Laura Deming’s The Longevity Fund and is well funded by top venture capitalists and angels.

    We are hiring a Data Engineer to join the rapidly growing Bioinformatics team! We are looking for someone with a strong technical background to drive forward multiple data pipeline projects and grow their skillset. This is an excellent opportunity for someone with a solid programming background who wants to transition into data engineering.

    Loyal is an early stage company, which means there are no stringent hierarchies, silos or bureaucracy. While you will be ultimately responsible for executing key data engineering projects, you will have ample opportunity to work with, learn from, and influence other sides of the company.

    Loyal is founded and led by a first-gen, female CEO – we encourage and look forward to diverse applicants.

    As part of the Bioinformatics team you will:

    • Develop data processing pipelines to collect and store data, both locally and in the cloud

    • Work with multiple stakeholders, both technical and non-technical, to facilitate preprocessing and analysis of data

    • Create documentation for data handling and storage processes

    • Contribute expertise to compute infrastructure decision-making and strategy

    • Provide advice and support on data management best practices for ongoing studies, both internally and externally facing

    Basic Qualifications

    • BA/BS in Computer Science, Engineering, Mathematics or related field.

    • 1-5 years of relevant experience, course projects count

    • Experience with python (particularly pandas, numpy) and git

    • Experience creating/contributing to one or more data pipelines (again, course projects count)

    Preferred Qualifications

    • MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field; PhD in a data-intensive program (biology, psychology, etc).

    • Experience with AWS, relational databases, Apache Spark, Airflow, Kafka

    How you work and think

    • Strong desire to work collaboratively within a team and across teams

    • Always looking for opportunities to assist others

    • Process driven - creates frameworks to tackle challenging problems

    • Mission driven - able to put day to day work in the context of the overall goals of the company

    • Desire to learn and grow in ability and responsibilities

    • Track record in communicating with technical and non-technical stakeholders

    • Able to work in a fast paced and ever-changing environment

    • Empathy to others and low ego

    Interested? Email tom@loyalfordogs.com

    Email application to:

    tom@loyalfordogs.com

    • Data Science
    • Engineering
    • Machine Learning & AI
    • Computer Science
    Tags
    • Remote OK

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    Longevity List. 2023.

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