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

Anchorage Digital is building the world’s most advanced digital asset platform for institutions to participate in crypto. They are seeking a founding engineer for their Reporting & Statements team to design systems for financial reports and statements, ensuring accuracy and consistency in data delivery.

Responsibilities:

• Evolve our architecture from decentralized reporting scripts to a centralized, framework-based delivery system
• Build automated validation and reconciliation that lets us scale without adding manual oversight
• Design data models that become a trusted, shared source of truth for downstream product teams and external APIs
• Navigate complexity across multiple product data streams, applying consistent logic to all financial statements
• Work with Product and Foundations teams to standardize how we capture and represent financial data
• Create self-service frameworks so other teams can add new report types through configuration instead of code
• Listen to product stakeholders to stay ahead of scaling needs for client-facing data
• Help mature our engineering culture by advocating for and modeling 'Data as a Product' principles and high-quality engineering standards

Requirements:

• 7+ years building data systems: You have experience creating internal tools, frameworks, or engines that handle 10x scale
• Financial domain experience: 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
• Systems thinking: You consider the next 100 products, not just the current one. You value extensible systems over one-off pipelines
• Solid technical foundation: 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
• Evolve our architecture from decentralized reporting scripts to a centralized, framework-based delivery system
• Build automated validation and reconciliation that lets us scale without adding manual oversight
• Design data models that become a trusted, shared source of truth for downstream product teams and external APIs
• Navigate complexity across multiple product data streams, applying consistent logic to all financial statements
• Work with Product and Foundations teams to standardize how we capture and represent financial data
• Create self-service frameworks so other teams can add new report types through configuration instead of code
• Listen to product stakeholders to stay ahead of scaling needs for client-facing data
• Help mature our engineering culture by advocating for and modeling 'Data as a Product' principles and high-quality engineering standards
• You've been a data consumer: Prior experience as a financial or business analyst gives you the perspective to design truly usable data models
• You care about performance: You enjoy making data move faster and cheaper, whether through ADBC, multiprocessing, vectorized operations, or other optimizations