Staff Data Engineer (Treasury)

Location: Remote Bay Area, CA, US

Salary: $239,600–$359,400 USD annually, depending on location zone, skills, experience, qualifications, and market conditions.

Company

hirify.global builds financial technology products including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto to increase access to the global economy.

What you will do

• Own Treasury’s data architecture, technical roadmap, requirements, prioritization, and build-versus-buy decisions.
• Design, build, and operate a Snowflake liquidity datamart integrating bank, custodian, portfolio accounting, and general ledger data.
• Build reliable datasets, pipelines, and data contracts for liquidity forecasting in partnership with machine learning engineers.
• Lead the Treasury Management System recommendation, including vendor evaluation, target architecture, integration, and migration.
• Own production reliability, data quality, lineage, access, recovery, monitoring, incident response, and on-call operations.
• Drive adoption and automate monitoring and investigation, including AI agents where appropriate while preserving human review.

Requirements

• 10+ years of experience in data engineering, or a combination of software and data engineering, with substantial recent experience personally building and operating production data systems.
• Deep expertise in SQL, Python, and dbt, plus experience with Snowflake or a comparable cloud data warehouse.
• Strong data architecture and modeling skills, including schema design, dimensional modeling, and integration of multiple source systems.
• Experience designing reconciliation, data quality, lineage, and access controls.
• Experience operating business-critical pipelines, including orchestration with tools such as Airflow or Prefect, dependency management, monitoring, incident response, and recovery.
• Ability to independently turn ambiguous business problems into production systems, set technical direction, make architecture and build-versus-buy decisions, and implement solutions through adoption.
• Experience working directly with senior business partners, challenging assumptions, resolving competing requirements, and explaining technical recommendations in business terms.

Nice to have

• Experience with financial, Treasury, or general ledger data, especially cash positions, transaction reconciliation, and multi-entity reporting.
• Experience building datasets and data contracts for production machine learning models or forecasting systems.
• Experience building workflow automation, including production AI agents with validation and human review.

Culture & Benefits

• Remote work in the stated U.S. location, within a distributed and collaborative environment focused on innovation and impact.
• Medical insurance, flexible time off, retirement savings plans, and modern family planning benefits.
• Inclusive workplace and interview process with reasonable accommodations for disabled applicants.
• U.S. roles are typically open for an average of 55 days, with no specific application deadline stated for this role.

Hiring process

• Candidates may submit up to 9 active applications within a 60-day period.
• Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
• Automated AI tools may be used to evaluate applications in accordance with local regulations and privacy laws.