Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$194к-285к/год
$190к$230кмедиана$240к
По похожим ролям (47) ~ $230к/год
На СНГ рынке: $3.7к/мес ($2.7к - $5.6к)
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Хорошая вакансия
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Понятная зона ответственности руководителя, сильное направление data engineering и хороший пакет льгот делают вакансию привлекательной; зарплата соответствует рыночному уровню.
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Актуальные технологииПонятная рольЗарплата по рынкуХорошие льготы
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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