обновлено 5 дней назад
Principal Data Engineer
154 600 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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