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9 часов назад

Lead Data Engineer (Healthcare)

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/Healthcare): Designing and developing GCP data pipelines and ML-enabled data solutions for healthcare applications with an accent on BigQuery optimization, Python-based ELT, and robust data architecture. Focus on leading technical projects, translating business requirements into technical designs, and building scalable pipelines with Airflow, Spark, CI/CD, and advanced SQL.

Location: Remote; the opportunity supports healthcare data initiatives with the team in Nashville.

Salary: $140,000–$190,000 per year, plus benefits.

Company

hirify.global is a fast-growing data and engineering company helping clients use Google Cloud and Salesforce to create data-driven solutions and insights.

What you will do

  • Design, architect, develop, and support GCP data pipelines for extracting, loading, and transforming data.
  • Build and maintain documentation showing how information assets are stored, processed, and supported.
  • Collaborate with project teams to estimate, plan, and deliver engineering work.
  • Work with business analysts and project management to translate business requirements into technical design specifications.
  • Develop data solutions that support machine learning, data-driven decision-making, and improved patient outcomes.
  • Participate in daily team standups and cross-functional collaboration.

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, including Google Cloud Storage, BigQuery, Cloud Composer/Airflow, and Dataproc/Spark.
  • Advanced SQL skills, including writing, tuning, and interpreting complex queries, with expertise optimizing BigQuery SQL queries and scripts.
  • Proficiency in Python-based ELT pipelines, Unix/Linux shell scripting, dbt, CI/CD pipelines, and a BI tool.
  • Strong data analysis, problem-solving, and machine learning experience.

Culture & Benefits

  • Data-first, entrepreneurial, and innovation-focused work environment.
  • Opportunities to solve complex engineering and data problems.
  • Health insurance and retirement plans.
  • Professional development opportunities.
  • Equal opportunity workplace with reasonable accommodations available throughout the selection process.

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