1848 Ventures · 3 months ago
Data Product Engineer (TakeUp)
United States
Full-time
Remote
Mid Level1848 Ventures is revolutionizing revenue optimization for hospitality through its innovative platform, TakeUp. The Data Product Engineer will be responsible for designing and building internal tools that enhance customer-facing products, focusing on data-driven applications and analytics pipelines.
Financial Services
Responsibilities
Design & build Streamlit apps that surface core KPIs, anomaly-detection workflows, and AI rate-review UIs
Model the data—write clear, performant SQL and dbt models that power your apps and keep logic in one place
Automate analytics pipelines in Prefect (or similar) so insights arrive before humans have to ask
Instrument & monitor usage, latency, and data quality; tighten feedback loops with the Head of Customer Success
Ship continuously—own CI/CD for your services (GitHub Actions + Docker/ECS), balancing speed with reliability
Evangelize best practices in code quality, testing, and documentation across the internal-tools stack
Qualification
Required
You've shipped production data or analytics apps (Flask / FastAPI / Streamlit / Dash / Panel)
Window functions, CTEs, and query tuning are second nature; Snowflake experience is a plus
Matplotlib / Plotly / Altair—or your library of choice—to turn raw numbers into crisp stories
Comfortable containerizing apps and automating deploys; infra as code is a bonus
You take broad goals, break them into sprints, and bias toward action
You love whiteboarding with revenue managers as much as pairing with platform devs
Preferred
Bonus points for understanding ML workflows (feature stores, model outputs) and translating them to non-technical users
Company
1848 Ventures
1848 Ventures is a financial services industry.
Founded in 2018
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Molly Dunn
Talent Acquisition Partner
Ryan Routh
Talent Experience Partner
Recent News
2025-07-31
thesaasnews.com
2025-07-30
Company data provided by crunchbase