Senior Data Engineer Data Engineer

Palm Finance • Full-time • Remote (San Francisco, California, United States) • $60k - $120k / year • 1m ago

About Palm

Palm is building the future of Business Identity. We help small businesses auto-complete government filings with AI, while powering a unified Data Profile that keeps their business identity accurate, verified, and permissioned. With Palm, Members spend less time on paperwork and unlock smarter access to services - from banks to AI agents.
We’re growing fast with 17,000+ businesses on the platform and backing from top-tier VCs like Better Tomorrow Ventures and Grand Ventures.
Come join us at the ground floor - and help make small business data work smarter.

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About the Role

We’re looking for a Senior Data Engineer to lead cross-functional initiatives and drive architectural decisions as they architect and scale Palm’s data infrastructure. This role is ideal for someone who has built and maintained production-grade data platforms before, and who thrives on enabling others to ship quickly while solving strategic technical challenges.
This role owns the systems, tooling, and data architecture that will allow the rest of the team to scale our data coverage with speed and quality. You'll work closely with engineering, product, and ops to make Palm's data platform robust, extensible, and easy to contribute to.

What You'll Do

Design and implement scalable, modular data pipelines to support multi-state expansion, partner integrations and integration of multiple data sources
Build infrastructure others can use: define best practices and set technical standards for ingestion, transformation, validation, and testing
Identify technical bottlenecks and resourcing gaps, propose scalable solutions or team structure adjustments, and contribute to the technical roadmap while mentoring others to improve team capacity
Own data observability, integrity, and monitoring best practices
Collaborate across teams to make data accessible via APIs and internal tools
Maintain alignment with long-term product goals while accelerating data coverage efforts

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About You

5+ years of experience in data engineering, with a track record of designing and maintaining scalable data platforms
Skilled in building reusable ETL pipelines with tools like Python, SQL, AWS Batch, and cloud data storage (e.g., S3, Athena)
Deep experience with data modeling, API design for data access, and monitoring strategies for production pipelines, including selenium and scrapy
Comfortable mentoring engineers and creating well documented resources
Strong communicator who works well in async, distributed environments and is good at aligning technical strategy with company goals
Bonus: experience with RPA and AI, familiarity with business compliance data, document parsing, or public records integration

Why Palm