Senior Data Integrity and Governance Engineer

Clearstreet; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Clear Street is seeking a data engineer to own data across Growth, Lifecycle, and Brokerage data streams. You’ll ensure feed completeness, manage dbt layered models, and define contracts with product and platform teams.

You’ll enforce governance, masking, and auditability while choosing the right data-processing approach for each consumer. You will collaborate with Marketing, Product, and Operations to capture essential events, ensuring numbers are accurate and on time in a fast-paced fintech

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

Responsibilities

• Own data integrity in both directions. Prove that every feed arrived complete and on time, and that every outbound sync landed what it should.
• Own the warehouse layers in dbt: raw landing, staged and identity-resolved models, and the curated models that analysts, data scientists, dashboards, and internal AI agents read from.
• Establish data contracts with product engineering and with the owners of the platforms we depend on, so an upstream change is caught at the boundary.
• Own governance: role-based access, PII masking, retention, and auditability, including self-serve tools that do not become a way around permissions.
• Choose deliberately between batch, change-data-capture, and streaming, based on what each consumer actually needs.
• Partner with Marketing, Product, and Operations to get the events and fields the business needs captured.
• This role is measured on whether the business's numbers are right and on time, not on pipelines delivered.

Skills

SQL

Python

Change-data-capture

Data governance

Data quality

Tools

dbt

Identity/warehouse models

Job description

Clear Street is seeking a data engineer to own data across Growth, Lifecycle, and Brokerage data streams. You’ll ensure feed completeness, manage dbt layered models, and define contracts with product and platform teams.

You’ll enforce governance, masking, and auditability while choosing the right data-processing approach for each consumer. You will collaborate with Marketing, Product, and Operations to capture essential events, ensuring numbers are accurate and on time in a fast-paced fintech