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5 дней назад

Engineering Manager, Data (Data Engineering)

193 800 - 285 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Engineering Manager, Data (Data Engineering): Leading the development of enterprise-scale data solutions and growing high-performing data engineering teams with an accent on data architecture, reliability, and scalable batch and real-time processing. Focus on coaching engineers, designing reusable data assets, and building large-scale systems with SQL, Python, cloud platforms, Spark, and Flink.

Location: Hybrid; must be located in San Francisco, Sunnyvale, or Seattle, United States

Salary: $193,800–$285,000 USD annual base salary, plus potential equity grants.

Company

A data-driven technology company building products and infrastructure for on-demand commerce.

What you will do

  • Lead, hire, coach, and grow high-performing data engineering teams.
  • Set the technical and strategic vision for embedded data engineering teams and foundational platforms.
  • Guide the development of enterprise-scale data solutions, reusable data assets, and components.
  • Improve data architecture, development processes, reliability, quality, and engineering excellence.
  • Collaborate with stakeholders, external partners, data scientists, and peer data leaders.
  • Build and operate scalable batch and real-time data processing systems.

Requirements

  • Bachelor’s, master’s, or PhD in Computer Science or an equivalent field.
  • 10+ years of experience in data engineering or a related domain.
  • 2+ years of hands-on engineering management experience, including hiring, performance management, coaching, and mentoring.
  • Strong communication, leadership, planning, execution, and cross-functional collaboration skills.
  • Hands-on coding ability in SQL and Python.
  • Experience with data warehouses, cloud platforms, big data systems, ETL orchestration, and large-scale processing using technologies such as Snowflake, Redshift, AWS or GCP, Hadoop, Spark, Flink, Airflow, and Lambda/Kappa architectures.

Nice to have

  • Experience with Delta Lake or Apache Iceberg.
  • Experience building systems that directly power online applications.
  • Exposure to CockroachDB, Cassandra, or PostgreSQL.

Culture & Benefits

  • Culture focused on technical excellence, continuous improvement, innovation, and reliable delivery.
  • 401(k) plan with employer matching.
  • Paid parental leave, paid time off, paid sick leave, and 11 paid holidays.
  • Medical, dental, vision, disability, and basic life insurance.
  • Wellness, commuter, family-forming assistance, and mental health benefits.
  • Equity grant opportunities in addition to base salary.

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