Why Keeper Tax?
Call it the gig economy, the passion economy, or side hustles, over half of Gen Z workers are now getting paid with 1099 contracts. Tax law is confusing and many workers with 1099 income don’t realize how many write-offs they’re missing.
Keeper Tax’s mission is to build software for this new generation of workers. Our product helps them:
- Identify tax write-offs automatically
- E-file at tax time
- Connect with tax professionals for any questions they might have
On average, customers save $1,200 per year using our product!
As a data engineer at Keeper Tax, what will I be working on?
Here are some examples of projects on our roadmap:
Deploy GPT-2 in-house: We would like to experiment with hosting our own GPT-2 model to clean transactions and predict write-off categories.
Improve scale and reliability of our pipeline: We would like to transition our data platform from our current cron-based system to a modern platform like Airflow.
Add table version control: We would like track changes in some of our critical business entity tables over time (e.g., validated merchant names, validated merchant to category mappings).
You would be a good fit for Keeper Tax if:
You want to move fast, and you don’t like being blocked. You're a problem solver. You find a way to get things done. We believe in "ask forgiveness, not permission."
You care more about solving problems for the user than about the specific technologies used. We use Python, SQL, and Kubernetes because they're standard. They have a lot of libraries that are well-used and well-maintained, and there are a lot of resources for getting started and for debugging advanced problems.
You want to have a significant hand in planning and managing your own work. At Keeper Tax, you will own projects end-to-end. You'll brainstorm with data, plan out your work, do the implementation, add tests, deploy to Kubernetes, and monitor your improvements post-release.
You believe that a team is stronger together than apart. You are willing to help other engineers with questions, code review, and brainstorming. You are willing to help data and PM with technical questions.
- You have shipped data pipeline updates to production using Airflow (or an equivalent Python-based, data pipeline technology).
- You have good working knowledge of SQL.
- You live in SF or are willing to relocate. We're a small team (20 people), and at this stage we're looking for people who want to work in person with us. We have a flexible WFH policy (3 days WFH per week).
- You don’t require visa sponsorship. Unfortunately, we don't support F1 or OPT visas.