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Anchorage Digital · 1 week ago

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

United States

Full-time

Remote

Senior Level

7+ years exp

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.

FinanceFinTechCrypto & Web3SoftwareBlockchainCryptocurrencyFinancial Services

Growth Opportunities

H1B Sponsor Likely

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

Qualification

Data systems designFinancial domain experiencePythonSQLBigQueryAirflowSystems thinkingCommunication skillsTeam collaborationProblem-solving

Required

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