Senior Data Engineer

🔥 9 minutes ago

🇺🇸 United States – Remote

💵 $150k - $250k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Clear Street

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

💸 Finance

Consulting • Logistics • Finance

Clear Street is building financial infrastructure for today's institutions. Clients of all sizes use our clearing, custody, execution, and prime brokerage platform to operate their businesses. The financial industry still relies on outdated technology developed in the 1970s. Clear Street started from scratch by building a completely cloud-native, clearing and custody system designed for today’s complex, global market. Our mission is to build a modern, single source-of-truth platform capable of handling every asset class, in every country, and in any currency.

📋 Description

• Build and own data for growth, lifecycle/user journey, and brokerage data • Bring in spend, clicks, conversions, and other data from paid, affiliate, organic, application, CRM, support, and brokerage systems • Reconcile marketing and brokerage data against systems of record • Send funded-account outcomes and other conversion data back to advertising platforms • Resolve customer identity from anonymous visit through sign-up, KYC, funding, and first trade • Keep lifecycle messaging, CRM, and support systems aligned with actual customer events • Model account opening, KYC, funding, transfers, trading, and settlement data with regulated broker-dealer precision • Ensure feeds arrive complete and on time and outbound synchronizations land correctly • Own dbt warehouse layers, including raw, staged, identity-resolved, and curated models • Establish data contracts with product engineering and external platform owners • Own governance including role-based access, PII masking, retention, auditability, and self-serve permissions • Choose between batch, change-data-capture, and streaming based on consumer needs • Partner with Marketing, Product, and Operations to capture required events and fields • Work closely with engineering and infrastructure teams that own trading systems, the core clearing ledger, cloud, Kubernetes, and networking

🎯 Requirements

• Minimum five years in data engineering or analytics engineering, with production pipelines you were on the hook for when they broke • Deep proficiency in SQL and Python • Production experience with dbt in a layered warehouse: raw, staged, and curated models with a declared grain, tests, and incremental builds • Hands-on experience bringing in third-party and application data through managed connectors, event pipelines, and change-data-capture • Experience handling schema drift, resyncs, duplicates, and late or missing records • Experience sending data back out through reverse ETL, audiences, or conversion feeds, and owning its correctness after it leaves the warehouse • Experience with reconciliation against systems of record, freshness and volume monitoring, and recurring incident prevention • Experience with role-based access, PII masking, retention, and auditable data governance • Familiarity with fintech or brokerage data, including account opening and KYC, funding and transfers, trades and settlement • Self-starter who operates well without a large team to escalate into

🏖️ Benefits

• Competitive compensation, benefits, and perks • Company equity • 401k matching • Gender neutral parental leave • Full medical, dental and vision insurance • Lunch stipends • Fully stocked kitchens • Happy hours • Opportunity to join a small and growing team • New, high-quality code base with little technical debt and room to build new services and features • Meritocratic philosophy that champions collaboration