Senior Data Warehouse Engineer — Build Trusted Data Backbone

BILL; California (MO); On-site; USD 148,400 - 209,300; Full time

Benefits offered by this job

Health, dental & vision plans

HSA/FSA accounts

Life insurance

Disability coverage

EAP

Holidays & wellness days

Stock Purchase Program

Wellness & fitness initiatives

Recognition & referrals

Job summary

BILL is seeking a Staff Data Warehouse Engineer to build a trusted data backbone powering Finance, Product, and Go-to-Market. You will own end‑to‑end pipelines and warehouse architecture, delivering scalable, well‑modeled data products and a single source of truth for the business.

You will partner with analytics, data science, and product teams to ensure robust integrations, reusable patterns, and codified engineering standards, while mentoring peers to raise the technical bar.

Qualifications

• 8+ years of experience in data engineering or combined software/data engineering roles, with a track record of owning significant warehouse builds end‑to‑end.
• Expert‑level SQL (multiple dialects) and strong Python, with examples of production‑grade applications beyond ad‑hoc scripts.
• Deep knowledge of ETL/ELT design, ingestion methods and orchestration (e.g., dbt, Airflow or equivalents).
• Hands‑on experience with modern lakehouse/warehouse platforms (e.g. Snowflake, Trino/Starburst or similar) and understanding of engine tradeoffs.
• 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 design

Data warehouse architecture

Mentorship

Stakeholder collaboration

Tools

Snowflake

Trino/Starburst

dbt

Airflow

Job description

BILL is seeking a Staff Data Warehouse Engineer to build a trusted data backbone powering Finance, Product, and Go-to-Market. You will own end‑to‑end pipelines and warehouse architecture, delivering scalable, well‑modeled data products and a single source of truth for the business.

You will partner with analytics, data science, and product teams to ensure robust integrations, reusable patterns, and codified engineering standards, while mentoring peers to raise the technical bar.