Senior Data Engineer Engineering San Francisco

About Baselayer :

Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer's B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses.

About You :

You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You're hungry to become an elite data engineer, designing rock-solid infrastructure that powers cutting-edge AI / ML products.

• You have 1–3 years of experience in data engineering, working with Python, SQL, and cloud-native data platforms
• You've built and maintained ETL / ELT pipelines, and you know what clean, scalable data architecture looks like
• You're comfortable with structured and unstructured data, and you thrive on building systems that transform chaos into clarity
• You think in DAGs, love automating things with Airflow or dbt, and sweat the details when it comes to data integrity and reliability
• You're curious about AI / ML infrastructure, and you want to be close to the action—feeding the models, not just cleaning up after them
• You value ethical data practices, especially when dealing with sensitive information in environments like KYC / KYB or financial services
• You're a translator between technical and non-technical stakeholders, aligning infrastructure with business outcomes
• Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level
• Proactive, ownership-driven, and unafraid of complexity—especially when there's no playbook

Responsibilities :

Salary Range : $135k – $220k + Equity - 0.05% – 0.25%

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