Senior Data Engineer

Clear Street

. Build and own data for growth, lifecycle/user journey, and brokerage data .

Posted 10/18/2026full-timeRemote • United StatesSenior💰 $150,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics engineering, with a strong focus on SQL, Python, and dbt for managing complex data pipelines and governance. Capable of reconciling marketing and brokerage data while ensuring compliance with regulatory standards in fintech.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingDbt Production ExperienceData Governance ExpertiseFintech Data Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringProduction PipelinesSchema Drift HandlingReverse ETLData ReconciliationKYC ProcessesData ModelingChange-Data-CaptureIncident Prevention

Soft Skills

Self-StarterProblem-Solving

Tools & Technologies

DbtCloud PlatformsKubernetesNetworkingCRM Systems

Industry Keywords

FintechBrokerage DataAccount OpeningFundingTransfersTradingSettlementPII MaskingData GovernanceRole-Based Access

Tech Stack

Tools & technologies

CloudETLKubernetesPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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