Senior Data Engineer

Senior Data Engineer

This job is no longer open
Loop is in the unparalleled position to provide data to our merchants that no one else is able to replicate. Data will be at the core of everything we do and some of our most critical work as we grow. Our future is to create data-based products that use modern techniques for delivering not only data but invaluable insights. We’ll identify problems our merchants don’t even know they have and use our data to create solutions that thrill merchants with their ability to predict and forecast their customer’s needs.

As a Sr. Data Engineer at Loop, you’ll have a significant impact on our ability to solve merchant problems and fulfill merchant needs. You’ll own the availability, quality, and ease of use of our data platforms. You’ll balance a healthy blend of creativity and structure, and take our data platforms to the next level.

Loop HQ is a state-of-the-art office located in Columbus, Ohio, and more than half of our team works remotely across the United States and Canada. You can choose to join us in the Columbus office or stay fully remote in this role.

Our tech stack: Fivetran, dbt, GBQ, Looker, Secoda

What You’ll Do:

    • Ensure data availability and data quality from OLTP systems to analytics environments.
    • Analyze source systems, define underlying data sources, design end-to-end data solutions and architecture.
    • Manage and maintain data pipelines and high-volume data storage solutions, optimizing compute and storage consumption.
    • Write high-quality code (i.e., reliable, readable, efficient, testable), provide quality code reviews, and create comprehensive tests and documentation. 
    • Possess autonomy, drive, and expertise to make tradeoff decisions between short-term results and long-term goals.
    • Develop and improve the current BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility.
    • We’ll look to you to provide data leadership on your team, by helping to inform decisions and provide insights about the use of data across all of Loop.

Your Experience:

    • 5 years of hands-on experience building and maintaining data pipelines and automating data availability and accuracy.
    • Experience building on Google Cloud Platform or similar cloud platform.
    • Experience with complex data modeling, ETL design, and using large databases in a business environment.
    • Experience building data lake and data warehouse solutions.
    • Can speak to machine learning and big data processing capabilities.
    • Expert level skills writing and optimizing complex SQL.
    • Experience with building data pipelines. Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
    • Knowledge of Engineering and Operational Excellence using standard methodologies.

Preferred experience:

    • Demonstrable experience of leading the day-to-day work of a small team.
    • Experience building data governance programs.
    • Experience with Kafka.
    • Knowledge of dbt.
In a perfect world, Loop wouldn't exist. If we had our way, we'd live in a world where we're mindful about how we consume, we love every product we own, and we share values with the brands who create them. In reality, commerce isn't perfect and often breaks. Loop creates second chances.

We're starting by revolutionizing the post-purchase experience. We've taken one of the most fragile commerce interactions - returns - and turned it into something consumers actually love, and that deepens our connection to brands and products.

We take connection seriously on the inside, too. We're building a work experience that allows you to Be A Human First and prioritizes empathy and wellbeing. We view Loop as a special place in your career to shape the future of an industry and become a better person while doing it. You can grow faster here in a shorter amount of time - we'll give you space and trust you to fill it.

Learn more about us here: https://loopreturns.com/careers.

You can review our privacy notice here.
This job is no longer open
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