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2 дня назад

Senior Analytics Engineer (AI)

163 600 - 245 400$
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 Analytics Engineer (AI): Building governed telemetry pipelines, executive dashboards, and metrics that measure AI investment, developer experience, and engineering productivity with an accent on instrumentation, data quality, and executive-facing analysis. Focus on defining metrics for an unsolved AI productivity problem, debugging production pipelines, and translating complex findings into investment recommendations.

Location: Remote, New York, NY, US

Salary: $139,000–$245,400 USD annually, depending on location zone.

Company

hirify.global builds financial and technology products through brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.

What you will do

  • Instrument and extend telemetry covering AI usage, code changes, CI/CD activity, and AI spend.
  • Build and operate production ETL pipelines with governed tables, freshness monitoring, backfills, and alerting.
  • Define, validate, and reconcile metrics from ambiguous or evolving engineering signals.
  • Build executive-facing dashboards, visualizations, and presentation materials for AI investment decisions.
  • Analyze developer experience and AI ROI, communicate findings clearly, and recommend improvements.
  • Partner with data engineering, applied AI, and data science teams while using AI coding agents in daily development.

Requirements

  • Must be based in the United States for this remote role.
  • 8+ years of experience in analytics engineering, data engineering, or business intelligence.
  • Strong SQL and Python skills, with hands-on experience operating pipelines against a cloud data warehouse such as Snowflake.
  • Experience instrumenting event or telemetry data and building production data pipelines end to end.
  • Experience building dashboards or internal tools used by non-technical stakeholders for decision-making.
  • Experience with Git, CI/CD systems, and debugging production failures, retries, and backfills.

Nice to have

  • Experience with a metrics-governance or semantic-layer system such as a metrics store, dbt semantic layer, or LookML.

Culture & Benefits

  • Remote work with a focus on inclusive collaboration.
  • Medical insurance and flexible time off.
  • Retirement savings plans and modern family-planning benefits.
  • Inclusive interview experience with reasonable accommodations available for disabled applicants.
  • AI coding agents are a standard part of building and maintaining pipelines, dashboards, and analyses.

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