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Wealth.com seeks a data engineer who will own the data platform end-to-end, from building production pipelines with Airflow to maintaining the Redshift warehouse and dbt models.
The ideal candidate has about four years of Python and SQL experience, has run production pipelines, and thrives in small teams where multi-tasking is essential. Clear communication is key to turning business questions into reliable, well-documented data systems.
This is a hands-on, first-of-its-kind data engineering role that owns the whole data platform, from pipelines and the Airflow setup to dbt models and the Redshift warehouse. A strong candidate has about four years of solid Python and SQL, has run production pipelines, and has worked on small teams where they covered many parts of the stack. Clear communication matters too, since much of the job is turning business questions into reliable systems and explaining the choices behind them.
AI tools can speed up routine work like drafting SQL, writing tests, and documenting models, but the output still needs a careful reviewer. The human part stays central: deciding how the warehouse should be designed, spotting when a number looks wrong, and earning trust from stakeholders. Since the company's product relies on AI, clean and dependable data underneath it matters even more.
The company builds an AI-powered estate and tax planning platform, so this role sits close to the data that feeds it. Someone here could get exposure to document processing and AI or ML data pipelines, which the posting lists as a plus. To build that experience beforehand, try a small project that pulls data from documents, structures it, and loads it into a warehouse with tests and monitoring.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Wealth.com provides an AI-powered estate and tax planning platform for financial advisors, per the company.