Senior Data Engineer (AWS/dbt/Airflow)

Location: Hybrid in the United States; New York, Tempe, or San Francisco. Hybrid attendance is required, with the NYC office expected 3 times per week.

Salary: $190K–$210K plus equity.

Company

hirify.global provides an AI-enabled, end-to-end estate planning platform for financial institutions and wealth management firms.

What you will do

• Own, design, operate, and improve the end-to-end data platform, including pipelines, Airflow, dbt, and the Redshift warehouse.
• Build pipelines that ingest data from multiple sources, clean and model it, and make it accessible for analysts and engineers.
• Improve data reliability by investigating pipeline failures and incorrect data, identifying root causes, and preventing recurrence.
• Make data architecture decisions involving warehouse design, scalability, cost, and documentation.
• Partner with Platform engineers to keep the data platform aligned with upstream product data model changes.
• Build new pipelines, harden existing ones, support the migration to Airflow, and translate stakeholder questions into working systems.

Requirements

• 4+ years of experience in data engineering, analytics engineering, or a closely related role, including at least 2 years at a company operating at meaningful scale.
• Strong SQL and Python skills, with Python used for data processing and pipeline development.
• Hands-on experience with dbt and production pipeline orchestration using Airflow or a similar tool.
• Working knowledge of AWS and cloud data warehouses; the platform uses Redshift.
• Good judgment in warehouse and system design.
• Ability to turn stakeholder requirements into code and systems and clearly explain technical decisions.
• Experience working on small teams with ownership of multiple parts of the data stack.

Nice to have

• Experience moving pipelines to Airflow or a similar orchestrator.
• Experience in fintech, wealth management, or regulated environments involving compliance, audits, or PII handling.
• Experience with document processing or AI/ML data pipelines.
• Experience in a mature, scaled data organization.

Culture & Benefits

• Small, collaborative team with low process overhead and business-driven priorities.
• Medical, dental, and vision insurance options with low-cost premiums.
• Company-paid basic life insurance and short- and long-term disability coverage.
• Paid parental leave upon eligibility and flexible PTO, including holidays and birthdays.
• Company equity managed through Carta and a 401(k) with matching and immediate full vesting.
• Free estate planning for life.