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11 часов назад

Senior Consumer Analytics Engineer I (Snowflake)

130 000 - 180 000$
Формат работы
hybrid
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 Consumer Analytics Engineer I (Snowflake): Building and optimizing core data products and scalable pipelines for a brick-and-mortar commerce platform with an accent on dbt, Snowflake, and data orchestration. Focus on translating ambiguous business needs into trustworthy data assets and improving platform observability and reliability.

Location: Hybrid: Must be based in Austin, Chicago, DC, or NYC (In-office attendance required Monday, Tuesday, and Thursday)

Salary: $130,000 – $180,000 + equity

Company

hirify.global transforms brick-and-mortar commerce using online retail sophistication to provide more value to users and businesses through profit measurement and attribution.

What you will do

  • Design and build complex, scalable data products using dbt, Snowflake, and Dagster.
  • Translate ambiguous business requirements into structured, trustworthy data assets from design through deployment.
  • Contribute to shared platform tooling to improve pipeline orchestration, testing, and observability.
  • Evaluate and implement new platform capabilities such as Semantic Views, Cortex, or SnowML.
  • Support teammates through onboarding, resolving data issues, and documenting best practices.
  • Maintain reliability and data quality through monitoring, alerting, and test coverage.

Requirements

  • 3+ years of experience in data or analytics engineering roles, preferably with a modern data stack.
  • Fluency in SQL for writing performant, modular transformations at scale.
  • Working knowledge of Python for data orchestration, transformations, and testing.
  • Strong understanding of data modeling tradeoffs (e.g., Kimball vs. OBT).
  • Ability to communicate technical concepts to both engineers and non-technical stakeholders.
  • Must be based in Austin, Chicago, DC, or NYC.

Nice to have

  • Experience supporting machine learning workflows, including feature building and monitoring.
  • Familiarity with DevOps practices (CI/CD for data), data governance, or FinOps.
  • Experience in a fast-growing startup environment or platform-style teams.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage starting on Day 1.
  • Equity (ISOs) and a 401(k) program.
  • Unlimited PTO, 10 paid federal holidays, and an annual week-long Winter Break.
  • Learning and Development stipend.
  • Physical fitness, wellness, and mental health support programs.
  • Lunch reimbursement for in-office employees.

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