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6 дней назад

Senior Staff Engineer (Data)

188 000 - 282 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
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 Engineer (Data): Leading the design and evolution of hirify.global’s core data platform with an accent on data ingestion, governance, storage, processing, and access across all product and analytics systems. Focus on defining standards, patterns, and integrating emerging technologies to ensure a reliable, scalable, and secure data foundation.

Location: Hybrid, San Jose, California. Visa sponsorship is NOT available.

Salary: $188,000 – $282,000 USD (base pay range).

Company

hirify.global is a leading cloud-based, AI-powered Accounting Transformation Platform, streamlining daily accounting tasks for over 3,000 teams.

What you will do

  • Lead the design of scalable and reliable data pipelines, storage solutions, and access layers using modern cloud-native technologies.
  • Own and evolve core data platform components (e.g., event streaming, lakehouse architecture, batch & streaming ETL, data cataloging).
  • Define best practices for data quality, lineage, privacy, and access control to ensure regulatory compliance and trust in the data.
  • Collaborate closely with Product, Analytics, Infrastructure, and Security teams to align data platform capabilities with organizational goals.
  • Mentor engineers across the organization, establish coding and architectural standards, and influence the strategic direction of the platform.
  • Evaluate and integrate emerging technologies that improve performance, observability, developer experience, and cost efficiency.

Requirements

  • 10+ years of software engineering experience with deep expertise in data infrastructure, distributed systems, or backend platform engineering.
  • Proven track record of designing and delivering production-grade data platforms at scale.
  • Strong experience with tools like Snowflake, dbt, Kafka, Airflow, Spark, and cloud-native technologies (e.g., AWS, GCP, or Azure).
  • Hands-on experience building APIs and services for data access, metadata management, and platform observability.
  • Familiarity with data privacy regulations (GDPR, SOC2, HIPAA) and enterprise-grade security practices.
  • Effective communicator and collaborator.

Nice to have

  • Experience in a startup or high-growth SaaS environment.
  • Exposure to AI/ML data pipelines or real-time analytics platforms.

Culture & Benefits

  • Competitive and elaborate Benefits Package including Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance.
  • Unlimited Vacation.
  • Values-driven culture: Unwaveringly Authentic, Ambitious with Integrity, Empowered to Grow, Committed to Collaboration, Customer Obsessed.
  • Regularly rated as a Best Place to Work by Inc. Magazine, LA Business Journal, and Built In.

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