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Data Engineer (AI)

198 000 - 297 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (AI) (Fintech): Building data models, pipelines, monitoring, and ML-ready datasets for compliance and risk products across Cash App, Square, and Afterpay with an accent on data quality, lineage, and agentic automation. Focus on designing end-to-end data engineering solutions, reducing false positives with AI agents, and maintaining business-critical pipelines against SLAs.

Location: Remote, Bay Area, California, United States

Salary: $198,000–$297,000 USD annually for Zone A locations; other U.S. zones range from $168,300–$252,500.

Company

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

What you will do

  • Lead the creation and optimization of data models for event, customer, and process-level data.
  • Standardize business and product metrics in curated datasets and maintain data dictionaries and documentation.
  • Build data-quality and lineage monitoring, including AI agents for false-positive reduction and automated resolution.
  • Participate in on-call rotation, monitor pipeline execution, diagnose issues, and resolve business-critical failures to meet SLAs.
  • Translate business and product requirements into automated end-to-end data solutions with non-technical partners.

Requirements

  • 10+ years of related experience with a Bachelor’s degree, 8+ years with a Master’s degree, or equivalent experience.
  • High proficiency in SQL, Python, and dbt.
  • Experience designing medium-to-large data engineering solutions across scoping, design, development, testing, deployment, and documentation.
  • Experience with ETL scheduling and dependency checking using Airflow, Prefect, or similar technologies.
  • Experience with schema design, dimensional data modeling, data-quality monitoring, and data-lineage monitoring.
  • Experience using AI and agentic automation to support data-driven decisions.

Nice to have

  • Experience supporting compliance, risk, financial-crime detection, or reporting data products.
  • Experience working with Snowflake, Databricks, Omni, Terraform, and GitHub.

Culture & Benefits

  • Remote work within the stated U.S. location.
  • Medical insurance and flexible time off.
  • Retirement savings plans and modern family-planning benefits.
  • Inclusive workplace and interview accommodations for disabled applicants.

Hiring process

  • Applicants may submit up to nine active applications within a 60-day period.
  • Automated AI tools may be used to evaluate applications in accordance with local regulations.

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