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2 часа назад

Analytics Engineer (Databricks)

106 080 - 119 340$
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

Текст:
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TL;DR
Analytics Engineer (Databricks): Evolving a shared data warehouse, semantic layer, and reusable data assets for scalable analytics, data governance, and AI readiness with an accent on data modeling, cloud data platforms, and automated data quality. Focus on designing governed data products, optimizing pipelines and warehouse schemas, and building monitoring and documentation for self-service analytics.

Location: United States; hybrid work with periodic travel for in-person events

Salary: $106,080–$119,340 annually

Company

hirify.global is a national nonprofit organization using technology to improve access, equity, and integrity in the college admissions process.

What you will do

  • Evolve the shared data warehouse, reporting schema, semantic layer, and reusable data assets.
  • Design and maintain data models, transformation pipelines, and data products for scalable self-service analytics.
  • Refactor tables and pipelines to improve performance, cost efficiency, and maintainability.
  • Implement automated data quality frameworks, validation logic, monitoring, and alerting for critical datasets.
  • Translate data governance requirements, including retention, deletion, PII handling, and access controls, into production systems.
  • Collaborate with Data Engineering, Applied Analytics and Research, Data Governance, analysts, researchers, and data scientists.

Requirements

  • Must live in the United States or its territories.
  • Must be willing and able to travel for periodic in-person events, including retreats and leadership sessions.
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Statistics, or a related technical field, or equivalent experience.
  • 5–8 years of experience in analytics engineering, data engineering, or a related data platform role.
  • Strong SQL, data modeling, dimensional modeling, star/snowflake schemas, and Python skills.
  • Experience with enterprise data warehouses, cloud platforms, Databricks, Unity Catalog, Delta Live Tables, workflows, semantic layers, data quality, documentation, and Git.

Nice to have

  • Advanced Tableau experience and familiarity with Alation, Atlan, or similar metadata tools.
  • Experience with Agile collaboration, higher education, nonprofit, or mission-driven technology.
  • Databricks, dbt, or equivalent data engineering and cloud platform certifications.

Culture & Benefits

  • Virtual-first environment with a collaborative, diverse, team-oriented workplace.
  • Paid time off, company-wide and floating holidays, sick leave, and a monthly mental health day.
  • Remote work, mobile, and one-time office setup stipends, plus laptop and equipment options.
  • Health, dental, vision, life, disability, HSA, FSA, and dependent care benefits.
  • 403(b) retirement plan with company contributions and matching.
  • Professional development funding, growth opportunities, employee assistance, and other supplemental benefits.

Hiring process

  • Submit a resume and cover letter with salary expectations.

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