[Hiring] Senior Data Engineer @Clear Street

Role Description

Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets. We started from scratch by building a completely cloud-native clearing and custody system designed for today's complex, global market.

The mission of the Clear Street Active team is to provide best execution for every asset class in every market. Active is building a new, state-of-the-art, cloud-based trading platform giving high-performance traders access to liquidity venues across multiple asset classes, cutting-edge charting, and sophisticated order handling.

The Active Data team owns how the business understands itself, and increasingly how it decides what to do next. Data flows into our warehouse from various platforms and systems, and it is crucial to maintain its integrity as it travels.

Three areas of the business depend on this role, and you will own the data for all of them:

• Growth: Bring in spend, clicks, and conversions from every paid, affiliate, and organic channel, reconcile them against our own records, and send funded-account outcomes back to the ad platforms.
• Lifecycle and the user journey: Resolve each customer's identity from a first anonymous visit through sign-up, KYC, funding, and first trade.
• Brokerage data: Model account opening, KYC, funding and transfers, and trading from the platform's own systems.

Across all three, you will:

• Own data integrity in both directions.
• Own the warehouse layers in dbt: raw landing, staged and identity-resolved models, and curated models.
• Establish data contracts with product engineering and platform owners.
• Own governance: role-based access, PII masking, retention, and auditability.
• Choose deliberately between batch, change-data-capture, and streaming.
• Partner with Marketing, Product, and Operations to capture necessary events and fields.

Qualifications

• Minimum five years in data engineering or analytics engineering.
• Deep proficiency in SQL and Python.
• Production experience with dbt in a layered warehouse.
• Hands-on experience with third-party and application data.
• Experience sending data back out through reverse ETL.
• Data quality in practice.
• Data governance in practice.
• Familiarity with fintech or brokerage data.
• Self-starter who operates well without a large team.

Requirements

• Identity resolution across web, app, and account data.
• Marketing data experience.
• Lifecycle and CRM tooling experience.
• Semantic layers for BI tools and AI agents.
• Workflow orchestration experience.
• Data retention and audit requirements in a regulated environment.
• Experience being an early data engineering hire on a team that scaled.

Benefits

• Opportunity to join a small and growing team.
• New, high-quality code base with little technical debt.
• Meritocratic philosophy that champions collaboration.
• Competitive compensation, benefits, and perks.
• Company equity, 401k matching, gender neutral parental leave, and full medical, dental, and vision insurance.
• In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.

Company Description

At Clear Street, we prioritize our people and continuously invest in a culture that promotes collaboration. We believe in high-performance workforces that are diverse in ideas, cultures, and experiences. We are proud to be an equal opportunity employer.