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Lead Data Engineer (GCP)

140 000 - 190 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
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
Lead Data Engineer (GCP): Building and supporting GCP data pipelines and Python-based ELT solutions for healthcare data with an accent on BigQuery optimization, data architecture, and machine learning initiatives. Focus on designing scalable data platforms, tuning complex SQL queries, and leading technical projects that improve data-driven patient outcomes.

Location: Remote, associated with Nashville, United States

Salary: $140,000–$190,000 per year

Company

hirify.global is a data-focused engineering and technology company helping clients use Google Cloud and Salesforce to drive action and impact through data and insights.

What you will do

  • Design, architect, develop, and support GCP data pipelines for extracting, loading, and transforming data.
  • Build and optimize Python-based ELT pipelines and BigQuery SQL queries and scripts.
  • Document how information assets are stored, processed, and supported.
  • Collaborate with business analysts, project managers, and cross-functional teams to translate requirements into technical designs.
  • Estimate and plan project work while leading technical projects and teams.
  • Participate in daily team standups and support delivery activities.

Requirements

  • 5+ years of hands-on experience as a Data Engineer or Data Architect.
  • Proven experience leading technical projects and teams.
  • Expertise with Google Cloud Platform tools, including GCS, BigQuery, Cloud Composer/Airflow, Dataproc, and Spark.
  • Advanced SQL skills, including writing, tuning, and interpreting complex queries.
  • Experience with Python-based ELT pipelines, Unix/Linux shell scripting, DBT, and CI/CD pipelines.
  • Experience with machine learning, data analysis, problem-solving, and a business intelligence tool.

Culture & Benefits

  • Remote work environment within an entrepreneurial, data-first company.
  • Health insurance and retirement plans.
  • Professional development opportunities and a strong focus on continuous learning.
  • Inclusive workplace with equal opportunity employment and reasonable accommodations throughout the selection process.

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