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Principal Data Engineer

154 600 - 195 000$
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 (GCP/Dataflow/BigQuery): Building scalable batch and streaming data pipelines and reusable enterprise-grade data capabilities for a property intelligence platform with an accent on data architecture, distributed processing, and graph databases. Focus on designing strategic data solutions, resolving complex enterprise-wide architecture challenges, and guiding engineering teams through technical delivery.

Location: Irvine, CA, United States

Annual salary: $154,600–$195,000

Company

hirify.global provides property intelligence, data, and technology solutions supporting the global property and real estate ecosystem.

What you will do

  • Design and implement scalable, high-performance batch and streaming data solutions.
  • Lead the architecture and delivery of reusable, enterprise-grade data capabilities.
  • Translate business requirements into technical solutions aligned with enterprise architecture standards.
  • Define and document solution architectures, technical designs, and requirements.
  • Provide technical leadership, guidance, and mentorship to engineering and support teams.
  • Evaluate architectural impacts, resolve complex data challenges, and support enterprise technology initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience.
  • 7+ years of IT experience with data architecture, data integration, data quality, and enterprise architecture.
  • Strong knowledge of data modeling and the full lifecycle of database, data warehouse, and data mart design.
  • Hands-on experience with AWS and Google Cloud Platform, including Dataflow, BigQuery, and related data services.
  • Strong programming skills in Python and PySpark, with experience in Hadoop, Spark, Elasticsearch, SQL, and NoSQL technologies.
  • Experience with graph databases such as Neo4j and Google Spanner, orchestration tools such as Apache Airflow, and data processing technologies such as Apache Beam.

Nice to have

  • Experience in real estate, mortgage, or insurance domains.
  • Experience with AI development frameworks and lifecycle methodologies.
  • Experience working in pair-programming environments.

Culture & Benefits

  • Collaborative environment focused on innovation, inclusion, professional growth, and technical impact.
  • Flexible working model, competitive paid time off, 11 paid holidays, and well-being and volunteer time off.
  • Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Medical plan options with mental health and wellness support.
  • 401(k) with company match, a $400 annual well-being stipend, and tuition assistance up to $5,250.

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