Senior Data Platform Engineer — Equity & Flexible PTO

Speedrun Talent Network; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, dental & vision insurance

401(k) & Match

Equity

Flexible PTO

Parental Leave

Job summary

Stuut in San Francisco is hiring its first dedicated data engineer to build the data foundation powering our AI-driven analytics. You will partner with product and engineering to convert raw financial data into actionable insights and shape data architecture from day one.

You will implement pipelines, models, and systems, design canonical data models, and collaborate with ML teams to drive metrics and dashboards for strategic decisions.

Qualifications

• 5+ years building production data pipelines using Python.
• Strong SQL skills and experience with modern cloud data warehouses (Snowflake/BigQuery).
• Experience implementing ETL/ELT workflows at scale (dbt, Airflow or similar).
• Built or contributed to a semantic/metrics layer ensuring metric consistency across surfaces.
• Knowledge of data modeling fundamentals for canonical schemas from heterogeneous sources.
• Experience with SaaS, ERP data, or fintech data preferred.

Responsibilities

• Build and own our data infrastructure from the ground up, ingesting, transforming, and modeling data from customer ERPs, payment processors, and internal systems.

Skills

Python

SQL

Data modeling

Data quality

Analytics

Education

Bachelor's degree in a quantitative field

Tools

dbt

Airflow

Snowflake

BigQuery

Job description

Stuut in San Francisco is hiring its first dedicated data engineer to build the data foundation powering our AI-driven analytics. You will partner with product and engineering to convert raw financial data into actionable insights and shape data architecture from day one.

You will implement pipelines, models, and systems, design canonical data models, and collaborate with ML teams to drive metrics and dashboards for strategic decisions.