Remote Senior Data Engineer for FinTech Data & Governance

Clear Street; United States; À distance; USD 150 000 - 250 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Company equity

401k matching

Medical, dental and vision insurance

Lunch stipends

Résumé du poste

Clear Street is modernizing the brokerage ecosystem with a cloud-native clearing and custody system designed for today’s complex markets. The Active data team owns the data from ad platforms, CRM, support systems, and brokerage systems, ensuring accuracy and timeliness as the business scales.

This role focuses on data integrity, warehouse modeling with dbt, and governance across platforms. The team collaborates with Marketing, Product, and Operations to capture the events and fields the business

Qualifications

• 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, and 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, and handling what goes wrong with each: 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.
• Data quality in practice: reconciliation against systems of record, freshness and volume monitoring, and the fix that stops an incident from recurring.
• Data governance in practice: role-based access, PII masking, retention, and an audit trail you could show a regulator.
• Familiarity with fintech or brokerage data: account opening and KYC, funding and transfers, trades and settlement, and why superficially similar balance or status fields are not interchangeable.
• Self-starter who operates well without a large team to escalate into

Responsabilités

• Own data integrity across all three data domains: growth, lifecycle, and brokerage data pipelines.
• Own the warehouse layers in dbt: raw landing, staged/identity-resolved models, and curated models with declared grain and tests.
• Establish data contracts with product engineering and platform owners to catch upstream changes at the boundary.
• Own governance: RBAC, PII masking, retention, and auditability with self-serve tools.
• Choose between batch, change-data-capture, and streaming based on consumer needs.
• Partner with Marketing, Product, and Operations to get essential events and fields captured.

Connaissances

SQL

Python

dbt

Data pipelines

Outils

Airflow

Kubernetes

Argo Workflows

Description du poste

Clear Street is modernizing the brokerage ecosystem with a cloud-native clearing and custody system designed for today’s complex markets. The Active data team owns the data from ad platforms, CRM, support systems, and brokerage systems, ensuring accuracy and timeliness as the business scales.

This role focuses on data integrity, warehouse modeling with dbt, and governance across platforms. The team collaborates with Marketing, Product, and Operations to capture the events and fields the business