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8 дней назад

Senior Data Engineer - Data Platform (Databricks)

130 000 - 160 000$
Формат работы
remote (только USA)/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 Data Engineer - Data Platform (Databricks): Building and migrating a modern Databricks lakehouse with dbt, ELT pipelines, and curated datasets for analytics and AI with an accent on data reliability, governance, and platform standards. Focus on refactoring legacy systems, designing automated recovery and quality monitoring, and building secure, machine learning-ready data products.

Location: United States — fully remote, or hybrid in Omaha, Nebraska

Salary: $130,000–$160,000 per year

Company

hirify.global provides a residential construction management SaaS platform for contractors, covering financials, schedules, workflows, and client relationships.

What you will do

  • Design and maintain a Databricks lakehouse using dbt and medallion architecture standards.
  • Build ELT pipelines with Databricks, dbt, and Fivetran from SQL Server, Salesforce, MongoDB, Gong, OpenTelemetry, and vendor systems.
  • Lead the migration away from BigQuery, Data Fusion, and Cloud Fusion, including pipeline refactoring and Tableau migration.
  • Improve platform reliability through replication, ingestion, auto-recovery, full-refresh jobs, watchdog orchestration, freshness monitoring, and data quality checks.
  • Design access controls, governance policies, data contracts, documentation, and privacy workflows supporting CCPA requirements.
  • Partner with data science, machine learning, AI, engineering, analytics, and business stakeholders while mentoring engineers and contributing to architecture decisions.

Requirements

  • Must be based in the United States for the remote option, or work hybrid from Omaha, Nebraska.
  • Bachelor’s degree in computer science, software engineering, or a related field.
  • 5+ years of experience in data engineering, data science, or data analytics.
  • Production experience with Databricks, Unity Catalog, dbt models, tests and macros, SQL, Microsoft SQL Server, Python, APIs, and large datasets.
  • Experience leading data platform migrations and building analytics- and machine-learning-ready datasets.
  • Experience with data testing, freshness monitoring, alerting, access controls, governance, mentoring, and technical communication.

Nice to have

  • Experience at a B2B SaaS company.
  • Experience with BigQuery or Fivetran.

Culture & Benefits

  • Remote and hybrid work options with technology reimbursement for home-office needs.
  • Medical, dental, vision, life insurance, and short- and long-term disability coverage.
  • 401(k) plan with matching contributions, paid time off, holidays, personal days, parental leave, and paid sabbaticals.
  • Volunteer time off, wellness programs, and an onsite fitness center.
  • Free daily lunches at the headquarters and monthly team events.

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