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Data Engineer Internship - Madison

Fetch Rewards

Fetch Rewards

Data Science
Madison, WI, USA
Posted 6+ months ago

What we’re building and why we’re building it.

There’s a reason Fetch is ranked top 10 in Shopping in the App Store. Every day, millions of people earn Fetch Points buying brands they love. From the grocery aisle to the drive-through, Fetch makes saving money fun. We’re more than just a build-first tech unicorn. We’re a revolutionary shopping platform where brands and consumers come together for a loyalty-driving, points-exploding, money-saving party.

Join a fast-growing, founder-led technology company that’s still only in its early innings. Ranked one of America’s Best Startup Employers by Forbes two years in a row, Fetch is building a people-first culture rooted in trust and accountability. How do we do it? By empowering employees to think big, challenge ideas, and find new ways to bring the fun to Fetch. So what are you waiting for? Apply to join our rocketship today!

Fetch is an equal employment opportunity employer.

The Role:

Fetch Summer Data Engineer internships are full-time (40 hours/week) for 12 consecutive weeks with start dates May 20 to August 9, 2023. Applicants should have a minimum of one quarter/semester remaining in their undergraduate/graduate studies after their internship concludes.

The data engineering team is working to use all the latest technology to build a performant, reliable, and scalable platform for delivering data. The work of data engineers is to enable all stakeholders to be able to access and use endless amounts of data that come from an ever-growing variety of data sources. At fetch our motto is to make data processing appear seamless and effortless for both producers and consumers of data. With a goal of having world class data availability with terabytes of daily data, data engineering is critical to Fetch’s success.

You Possess:
  • REQUIRED: Python programming skills
  • Solid 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)
  • Interest in building and experimenting with different tools and tech, and sharing your learnings with the broader organization
  • Pursuing 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
  • ETL process, data pipeline, and/or micro-service development experience
  • Coursework in Software Design, Database, Big Data Mining