# Analytics Engineer, Data Platform at Upside

- Company: Upside
- What the company does: Earn every time you shop gas, grocery, or food with Upside's free top-rated app. Get cash back on everyday necessities, making your purchases more rewarding. Download and start earning today! Backed by Bessemer and General Catalyst.
- Company website: https://www.upside.com/
- Type: Startups
- Level: Mid level
- Location: DC
- Work setup: Remote
- Pay: $149K to $180K base salary per year (USD)
- Posted: 2026-09-03
- Apply by: 2026-10-18
- Apply: https://jobs.ashbyhq.com/upside/022a5c37-643e-4b1c-a85a-aa5ba6600ca3
- Page: https://www.1752.vc/careers/jobs/upside-analytics-engineer-data-platform/

## About the role

Own a scoped domain of dbt models: design, build, test, ship, and monitor them, with a clear point of view on how they should be structured Turn ambiguous asks from Marketing and Product into scoped work, and talk openly about tradeoffs when the ask and the timeline don't fit together

## What they're looking for

- You've spent around 3–5 years in data or analytics engineering, or you've done comparable work under a different title
- You're fluent in SQL, comfortable with window functions and complex joins, and you think about query performance without being asked
- You've owned dbt models in a version-controlled repo, conventions, tests, CI, and the occasional cleanup of someone else's tangle
- You know Python well enough to work in orchestration, transformations, and tests
- You have an opinion on modeling tradeoffs (dimensional vs. one big table) and can explain which you'd pick and why
- You can explain a technical decision to a marketer and an engineer in the same meeting, and adjust how you say it for each

Tags: Engineering