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11 часов назад

Principal Data Engineer (Biotech)

159 422 - 215 689$
Формат работы
onsite
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
Principal Data Engineer (AWS/Python/PySpark): Leading the design and implementation of robust data architectures, cloud data platforms, pipelines, and integration solutions for a biotechnology organization with an accent on data governance, quality, security, compliance, and cloud cost optimization. Focus on architecting scalable data solutions, resolving complex data challenges, and mentoring a high-performing data engineering team.

Location: Thousand Oaks, California, United States

Annual salary: USD 159,422.60–215,689.40

Company

hirify.global is a biotechnology company developing, manufacturing, and delivering medicines across oncology, inflammation, general medicine, and rare disease.

What you will do

  • Lead the design, development, and implementation of the data strategy.
  • Architect and oversee robust data platforms, architectures, pipelines, and integration solutions.
  • Establish data governance policies and standards supporting data quality, security, and compliance.
  • Manage cloud-based data solutions using AWS, Azure, GCP, or comparable platforms, including cost optimization.
  • Identify and resolve complex data engineering challenges while translating business requirements into technical solutions.
  • Mentor and lead a high-performing data engineering team and promote engineering best practices.

Requirements

  • Experience using AWS, Azure, or GCP for data engineering solutions, with a strong understanding of cloud architecture and cost optimization.
  • Professional experience with Python, PySpark, and SQL, including big-data ETL performance tuning.
  • Proven ability to lead and develop high-performing data engineering teams.
  • Strong analytical, troubleshooting, problem-solving, communication, presentation, and prioritization skills.
  • Doctorate with 2 years, master’s degree with 4 years, bachelor’s degree with 6 years, associate’s degree with 10 years, or high school diploma/GED with 12 years of Data Engineer experience.
  • Ability to work effectively with global, virtual teams.

Nice to have

  • Experience with OLAP and OLTP data modeling and performance tuning.
  • Experience with Apache Spark and Apache Airflow.
  • Experience with Git or Subversion, CI/CD, automated unit testing, and DevOps.
  • AWS Certified Data Engineer or Databricks certification.

Culture & Benefits

  • Collaborative, innovative, and science-based work culture.
  • Health, dental, vision, life, and disability insurance, plus flexible spending accounts.
  • Retirement and savings plan with company contributions.
  • Discretionary annual bonus program and stock-based long-term incentives.
  • Award-winning time-off plans and career development opportunities.
  • Flexible work models where applicable to the posted work location type.

Hiring process

  • Applications are accepted until a sufficient number of candidates are received or a candidate is selected.
  • Reasonable accommodation is available for candidates with disabilities.

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