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Senior Analytics Engineering Manager (Data Engineering)

204 000 - 301 000$
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
Senior Analytics Engineering Manager (Data Engineering): Developing the vision for analytics engineering and delivering curated datasets, dashboards, and internal data products with an accent on data governance, scalability, and high-performing team leadership. Focus on scaling data self-service, optimizing ETL/ELT pipelines, and integrating AI tools to enhance productivity.

Location: US Remote. Participation in in-person trainings, off-sites, volunteer days, and team-building events may be required.

Salary: $204,000–$301,000 annualized, potentially higher based on proficiency and geographic location.

Company

hirify.global operates a neighborhood network used by neighbors, public agencies, and businesses across more than 350,000 neighborhoods in 11 countries.

What you will do

  • Define the Analytics Engineering vision and deliver curated datasets, dashboards, and internal data products.
  • Establish standards for metrics, semantic layers, data governance, documentation, SLAs, and data quality.
  • Build, coach, and develop a high-performing analytics engineering team.
  • Partner with data science, finance, marketing, sales, product, and engineering to prioritize the roadmap and define measurable outcomes.
  • Scale data self-service and literacy through documentation, training, and enablement.
  • Guide ETL/ELT architecture, operational excellence, code review, version control, monitoring, and root-cause analysis.

Requirements

  • 10+ years of experience in analytics engineering, data engineering, or analytics.
  • Strong hands-on SQL, Python, and data modeling expertise.
  • 3+ years of people leadership experience, including hiring, coaching, and performance management.
  • Experience defining semantic layers, building scalable dashboards, and selecting, configuring, and governing BI tools such as Looker.
  • Experience operating ETL/ELT pipelines with robust validation, monitoring, and high data quality standards.
  • Excellent communication and cross-functional collaboration skills, with a track record of delivering projects and measurable outcomes.

Nice to have

  • Experience with consumer products, user-generated content, and ad-supported business models.
  • Experience with GitHub or other version-controlled code and Python scripting.
  • Experience with agile or Kanban workflows.

Culture & Benefits

  • AI-first environment using tools such as Claude, Gemini, ChatGPT, and Glean.
  • Inclusive culture focused on learning, operational excellence, and stronger local communities.
  • Remote work with in-person company events and office collaboration expectations where applicable.
  • Equity grant with quarterly vesting and an initial vest date within three months of starting.
  • Multiple health plan options, including a fully covered employee-only plan, plus OneMedical membership.

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