Senior Data Engineer
Clear Street24 days ago
Base Salary
$150k - $250k/yr
Responsibilities
- Own data pipelines into and out of the warehouse for growth, lifecycle, and brokerage data.
- Build and maintain raw, staged, identity-resolved, and curated dbt warehouse models with declared grain, tests, and incremental builds.
- Ensure inbound feeds and outbound synchronizations are complete, timely, accurate, and free of duplication or stale data.
- Establish data contracts with product engineering and external platform owners to detect upstream schema changes.
- Own data governance, including role-based access, PII masking, retention, auditability, and self-service permissions.
- Choose between batch, change-data-capture, and streaming based on consumer requirements.
- Partner with Marketing, Product, and Operations to capture required events and fields.
- Reconcile data against systems of record and implement freshness, volume, and quality monitoring.
- Support identity resolution across anonymous visits, devices, accounts, sign-up, KYC, funding, and trading events.
- Send funded-account outcomes, audiences, and conversion data back to marketing and lifecycle platforms.
Requirements
- At least five years of experience in data engineering or analytics engineering with ownership of production pipelines.
- Deep proficiency in SQL and Python.
- Production experience with dbt in layered data warehouses, including declared grain, testing, and incremental builds.
- Hands-on experience with managed connectors, event pipelines, change-data-capture, schema drift, resynchronization, duplicates, and late or missing records.
- Experience with reverse ETL, audiences, or conversion feeds and responsibility for downstream correctness.
- Practical experience with reconciliation, freshness and volume monitoring, incident remediation, role-based access, PII masking, retention, and audit trails.
- Familiarity with fintech or brokerage data, including account opening, KYC, funding, transfers, trades, and settlement.
- Experience with identity resolution, marketing data, ad-platform APIs, conversion APIs, click IDs, attribution, lifecycle or CRM tooling, semantic layers, workflow orchestration, Kubernetes, or regulated data environments is preferred.
- Ability to operate independently as a self-starter on a small team.
Benefits
- Competitive compensation, benefits, perks, company equity, and 401k matching.
- Gender-neutral parental leave and full medical, dental, and vision insurance.
- In-office lunch stipends, stocked kitchens, happy hours, and a convenient location with views.
- Remote work is indicated by the #LI-Remote designation.
- Opportunity to join a small, growing team with a high-quality codebase and room to build new services and features.
Tech Stack
Categories
Data Engineering
About Clear Street
Clear Street builds a cloud-native brokerage and clearing platform for institutional investors, combining prime brokerage, clearing, and custody with APIs and modern infrastructure. It serves hedge funds, professional traders, and other market participants, helping them access multiple asset classes and markets through a unified system. Founded in 2018 and headquartered in New York, the company is privately held and operates regulated entities supporting global capital markets.