Member of Technical Staff, Reporting & Statements (Data Engineer)

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{
  "lists": [
    {
      "text": "Technical Skills:",
      "content": "<li>Evolve our architecture from decentralized reporting scripts to a centralized, framework-based delivery system</li><li>Build automated validation and reconciliation that lets us scale without adding manual oversight</li>"
    },
    {
      "text": "Complexity and Impact of Work:",
      "content": "<li>Design data models that become a trusted, shared source of truth for downstream product teams and external APIs</li><li>Navigate complexity across multiple product data streams, applying consistent logic to all financial statements</li>"
    },
    {
      "text": "Organizational Knowledge:",
      "content": "<li>Work with Product and Foundations teams to standardize how we capture and represent financial data</li><li>Create self-service frameworks so other teams can add new report types through configuration instead of code</li>"
    },
    {
      "text": "Communication and Influence:",
      "content": "<li>Listen to product stakeholders to stay ahead of scaling needs for client-facing data</li><li>Help mature our engineering culture by advocating for and modeling \"Data as a Product\" principles and high-quality engineering standards</li>"
    },
    {
      "text": "You may be a fit for this role if you: ",
      "content": "<li><b>7+ years building data systems:</b> You have experience creating internal tools, frameworks, or engines that handle 10x scale</li><li><b>Financial domain experience:</b> You've worked in fintech, banking, or other environments where numbers matter. You understand what a \"Statement of Record\" means and the precision it demands.</li><li><b>Systems thinking:</b> You consider the next 100 products, not just the current one. You value extensible systems over one-off pipelines.</li><li><b>Solid technical foundation:</b> You're proficient with Python (Pandas/Polars/Arrow) and SQL, with experience in BigQuery or similar cloud warehouses and modern orchestration tools like Airflow or Dagster.</li>"
    },
    {
      "text": "Although not a requirement, bonus points if: ",
      "content": "<li><b>You've been a data consumer:</b> Prior experience as a financial or business analyst gives you the perspective to design truly usable data models.</li><li><b>You care about performance:</b> You enjoy making data move faster and cheaper, whether through ADBC, multiprocessing, vectorized operations, or other optimizations.</li>"
    }
  ],
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    "team": "Data Engineering",
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