Senior Data Warehouse Engineer — Fintech Backbone

BILL; San Jose (CA); On-site; USD 174,600 - 209,300; Full time

Benefits offered by this job

Health, dental, vision

HSA & FSA

Life Insurance

Disability coverage

EAP

Holidays & wellness days

Stock purchase plan

Wellness initiatives

Recognition & referrals

Job summary

BILL is seeking a Staff Data Warehouse Engineer to own end-to-end data pipelines and warehouse architecture that serve Finance, Product and Go‑to‑Market. You’ll be a senior technical owner who turn ambiguity into well‑modeled, performant data products.

Collaborate with analytics, data science and product teams to harden core infrastructure, design scalable patterns, and ensure datasets are trustworthy, with AI‑ready querying and governance built in by default.

Qualifications

• 8+ years of experience in data engineering or related roles.
• Expert-level SQL and strong Python.
• Deep knowledge of ETL/ELT design and orchestration (dbt, Airflow).
• Hands-on experience with lakehouse/warehouse platforms (e.g. Snowflake).
• Experience in financial services and/or SaaS environments.
• Comfort operating with minimal DevOps/IT support on core database and warehouse administration.
• Proven mentorship and standards-setting experience; formal management not required.

Responsibilities

• Own end-to-end delivery of pipelines and warehouse architecture, from design through production, for new builds, migrations and re-platforming efforts.
• Administer and harden the data warehouse, including schema design, performance tuning, stability and cost-aware optimization.
• Embed data quality and governance into pipelines by default – testing, documentation, lineage – not as an after-thought.
• Translate ambiguous business requirements into clear technical designs; scope trade-offs and dependencies with cross-functional stakeholders.
• Define and codify simple, stable, repeatable engineering standards and patterns adopted by the broader team.
• Mentor engineers through design reviews, code reviews and hands-on guidance to raise the technical bar.
• Evaluate and introduce tools or architecture patterns when they materially improve scale, reliability or cost and be able to justify and explain the rationale.
• Design the warehouse to be queried by AI agents, not just people – structure models, naming conventions and metadata so natural-language querying returns correct results, and author skill files that let AI tools query the warehouse safely and accurately rather than guessing at intent.

Skills

SQL

Python

ETL/ELT

dbt/Airflow

Snowflake

Mentorship

Tools

dbt

Airflow

Job description

BILL is seeking a Staff Data Warehouse Engineer to own end-to-end data pipelines and warehouse architecture that serve Finance, Product and Go‑to‑Market. You’ll be a senior technical owner who turn ambiguity into well‑modeled, performant data products.

Collaborate with analytics, data science and product teams to harden core infrastructure, design scalable patterns, and ensure datasets are trustworthy, with AI‑ready querying and governance built in by default.