Senior Data Engineer (Fintech)

Location: Remote

Base salary: $150,000–$250,000 per year

Company

hirify.global is a financial services firm modernizing brokerage infrastructure through a cloud-native clearing, custody, and trading platform.

What you will do

• Own data pipelines into and out of the warehouse for growth, lifecycle, CRM, support, and brokerage systems.
• Build and maintain layered dbt models covering raw landing, staging, identity resolution, and curated analytics data.
• Ensure feed completeness, freshness, reconciliation, and correctness of outbound conversion, audience, and reverse-ETL syncs.
• Define data contracts with product engineering and external platform owners to prevent schema drift and silent data loss.
• Implement governance for role-based access, PII masking, retention, auditability, and self-service data access.
• Choose between batch, change-data-capture, and streaming approaches based on consumer requirements.

Requirements

• At least five years of experience in data engineering or analytics engineering with production pipelines.
• Deep SQL and Python proficiency, plus production experience with dbt, layered warehouses, declared model grain, tests, 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, conversion feeds, data reconciliation, freshness and volume monitoring, and incident prevention.
• Practical experience with role-based access, PII masking, retention, and regulatory audit trails.
• Familiarity with fintech or brokerage data, including account opening, KYC, funding, transfers, trades, and settlement.

Nice to have

• Identity resolution across web, app, and account data, including anonymous visitors and multiple accounts.
• Marketing data, ad-platform APIs, conversion APIs, click IDs, attribution, lifecycle tooling, and CRM pipelines.
• Semantic layers for BI tools and AI agents.
• Argo Workflows, Airflow, Kubernetes debugging, or regulated-environment retention and audit experience.
• Experience as an early data engineering hire on a scaling team.

Culture & Benefits

• Small, growing team with a collaborative and meritocratic working style.
• High-quality codebase with limited technical debt and room to build new services and features.
• Competitive compensation, equity, 401(k) matching, gender-neutral parental leave, and medical, dental, and vision insurance.
• In-office perks include lunch stipends, stocked kitchens, happy hours, and office amenities.