Software Engineering Intern, Data

Super.com

3d•Remote

About The Position

Interning at Super.com is an exciting chance to dive into the world of tech and startups, work on real projects, and learn a ton along the way. From day one, interns are fully part of the team - contributing to work that actually ships and gets used. It’s a fast-moving yet super supportive environment where you’re encouraged to ask questions, try new things, and grow through hands-on experience. Many interns say it’s the most they’ve learned in such a short time! Even though we’re remote, the culture is fun, collaborative, and well-connected- you’ll be included in team meetings, Slack chats, and social events, so you’ll never feel like you’re doing this alone. We are looking to hire a Software Engineer In Data intern to join our growing Data team. As a Software Engineer In Data at Super.com, your work will span from application development and maintenance to our post production enterprise data warehouse, ensuring a congruent flow. You will own, build, maintain, and enhance processes to ensure this end to end reliability.

Requirements

At least 8 months of backend development work experience, preferably with exposure to a dynamic, startup or scaleup environment.
A good understanding of relational databases and working with SQL.
Learn quickly, regardless of the languages and technologies used.
Experience taking ownership and shipping entire features end-to-end.
Thrive on decoding intricate problems with logical, well-reasoned solutions.
Interested in working with ETL/ELT tools and building data pipelines.
Interested in working with Python on the backend.
Interested in designing schemas and data modelling.

Responsibilities

Ship technically challenging projects end-to-end in a fast-paced, iterative environment.
Have the opportunity to very meaningfully propel the business forward, and recognize the impact of your work on the company’s business metrics.
Own features, services, caches, and databases, including: deployment, monitoring, debugging, and testing.
Write production-ready, well-tested code in your first week.
Work on our product analytics backend service and our data pipelines.
Be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making.
Ingest, clean, validate, and organize raw data in a way that makes sense for both product and analysis.
Help shape data strategies between systems within the organization to ensure consistent and predictable consumption.
Work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes.