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What we're building and why we're building it.
There's a reason Fetch ranks in the top 10 for Shopping in the App Store. Every day, millions of individuals earn Fetch Points by purchasing brands they love. From the grocery store aisle to drive-throughs, Fetch makes saving money enjoyable. We're more than just another tech unicorn that was built first. We are a revolutionary shopping platform where brands and consumers come together for a party that drives loyalty, explodes points, and saves money.
Join a rapidly growing, founder-led technology company that is still in its early days. Recognized as one of America's Best Startup Employers by Forbes two years running, Fetch is seeking to build a people-first culture based on trust and accountability. How do we go about it? By encouraging employees to think big, challenge ideas, and find innovative ways to make Fetch fun. So what are you waiting for? Apply to join our rocketship today!
Fetch is an employer offering equal employment opportunities.
The Role:
Full-time Data Engineer internships at Fetch for the summer are for 12 consecutive weeks, 40 hours/week, with start dates from May 20 to August 9, 2023. Applicants should have at least one quarter/semester remaining in their undergraduate/graduate studies at the end of their internship.
The data engineering team is working with all the latest technology to create a performant, reliable, and scalable platform designed to deliver data. The job of data engineers is to make it possible for all stakeholders to access and utilize countless amounts of data that originate from an ever-increasing variety of data sources. At Fetch, our goal is to make data processing seem seamless and effortless for both data producers and consumers. With the aim of world-class data availability and terabytes of daily data, data engineering is critical to Fetch’s success.
You Possess:
REQUIRED: Python programming skills
Strong SQL skills
Familiarity with Unix systems, shell scripting, and Git
Experience with relational (SQL), non-relational (NoSQL), and/or object data stores (e.g., Snowflake, MongoDB, S3, HDFS, Postgres, Redis, DynamoDB)
An interest in building and experimenting with different tools and technology, and sharing your findings with the broader organization
Pursuit of a Bachelor's degree in Computer Science (or equivalent).
Coursework in Programming and Data structures and Algorithms
Bonus Points for:
Excellent written and verbal communication skills
Familiarity with open source software and dependency management
Experience with ETL process, data pipeline, and/or micro-service development
Coursework in Software Design, Database, Big Data Mining
