Назад
1 день назад

Senior Analytics Engineer (SaaS)

141 520 - 208 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Analytics Engineer (SaaS): Designing and maintaining a robust R&D analytics data layer to empower data-backed decisions with an accent on data consistency, quality, and development velocity. Focus on implementing automated data reconciliation and building formal data layers using AWS Glue and LookML.

Location: Remote (US). Not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Salary: $141,520 – $208,000

Company

A global communications platform that empowers businesses to craft personalized customer experiences for millions of developers worldwide.

What you will do

  • Design and implement a formal analytics data layer using AWS Glue, Athena/Presto, and LookML.
  • Collaborate with Product and Engineering teams to define and maintain alignment on metric definitions and data lineage.
  • Develop automated data reconciliation and quality checks to ensure accuracy of critical reports.
  • Lead investigations into complex data anomalies and perform root cause analysis.
  • Mentor team members on data modeling, testing, documentation, and code review best practices.

Requirements

  • 4-5 years of professional experience in analytics engineering, data engineering, or a related field.
  • Strong expertise in SQL and hands-on experience with data models and AWS Glue (or similar).
  • Proven ability to partner with cross-functional stakeholders to codify and reconcile business metrics.
  • Experience owning ambiguous projects from inception to completion with minimal guidance.
  • Strong technical communication skills for conveying complex concepts to diverse audiences.
  • Must be based in the US (excluding CA, CT, NJ, NY, PA, WA).

Nice to have

  • 5+ years of experience, ideally within a B2B SaaS environment.
  • Expertise in Python, Hive, Presto, Spark, and dashboarding tools like Looker or Tableau.
  • Experience with dbt tests, CI/CD, and data observability frameworks.
  • Track record of establishing data culture and best practices in fast-paced tech organizations.

Culture & Benefits

  • Remote-first work environment with a strong culture of global inclusion.
  • Competitive pay and a retirement savings program (401k).
  • Comprehensive healthcare insurance.
  • Generous time off, including paid sick, personal, and parental leave.
  • Wellness leave and corporate bonus plan eligibility.

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