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Senior Staff Data Engineer (Fintech)

166 400 - 244 800$
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
Senior Staff Data Engineer (Fintech): Building and operating BILL’s core data infrastructure to collect, store, and process data for AI and analytics with an accent on scalable platform capabilities and distributed systems design. Focus on architecting end-to-end data lifecycles, including real-time streaming pipelines, data lake storage, and high-performance query engines.

Location: United States; remote-first. Office spaces are available in San Jose, California, and Draper, Utah, with opportunities for in-person collaboration.

Estimated annual salary: $195,800–$244,800 in Zone 1; $176,200–$220,300 in Zone 2; $166,400–$208,100 in Zone 3.

Company

hirify.global is a fintech company building financial automation tools that help businesses manage spending, payments, and operational workflows.

What you will do

  • Drive platform-wide architectural decisions and define technical direction for complex data infrastructure problems.
  • Own the full data lifecycle across ingestion, data lake storage, enrichment, querying, feature serving, knowledge graphs, and search.
  • Design and deliver new platform capabilities from inception through general availability, including reference implementations, SLAs, and ownership models.
  • Lead enterprise-scale migrations, including compute upgrades, warehouse-to-lake migrations, and infrastructure modernization.
  • Partner with ML/AI, Risk, Payments, and Analytics teams to build durable, self-service platform solutions.
  • Mentor senior and staff engineers while improving reliability, cost efficiency, engineering standards, and developer experience.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent experience.
  • 8+ years of experience in data engineering, distributed systems, or software engineering focused on data infrastructure.
  • 5+ years working on data platform, data infrastructure, or data systems teams.
  • Expertise in streaming, batch processing, real-time serving, distributed systems design, and CDC-based ingestion.
  • Hands-on experience with event streaming and batch technologies such as Kafka, Flink, Spark Streaming, Airflow, dbt, Spark, or Glue.
  • Strong SQL and Python skills, experience with data lakes and open table formats, and a track record operating production-grade data platforms.

Nice to have

  • 3+ years of experience in financial services, fintech, or SaaS.
  • Experience building self-service data platforms or developer-facing infrastructure tooling.
  • Experience with fintech, financial data, or highly regulated data environments.

Culture & Benefits

  • Remote-first work environment with optional office spaces and in-person collaboration opportunities.
  • Medical, dental, and vision plans with employee coverage, plus HSA and FSA accounts.
  • Life insurance, short- and long-term disability coverage, and an employee assistance program.
  • 11+ observed holidays, wellness days, flexible time off, and wellness initiatives.
  • Employee stock purchase program, recognition programs, and referral programs.

Hiring process

  • The hiring process is designed to provide a transparent and inclusive evaluation.
  • External assistance, including generative AI, is prohibited during live interviews or assessments.

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