Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$137к-252к/год
$180к$230кмедиана$240к
По похожим ролям (50) ~ $230к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
69
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Понятная роль Staff-уровня в инженерии данных у известной ad-tech компании, с современными технологиями и хорошим пакетом льгот, но оценка зарплаты ниже медианы рынка, а зона ответственности масштабная.
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Ниже рынкаШирокая зона задачАктуальные технологииХорошие льготыРекламные технологии
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer (Data Engineering): Building scalable data pipelines, APIs, and backend infrastructure for the Ventura OS connected TV platform with an accent on Apache Spark, large-scale data processing, and content metadata management. Focus on integrating machine learning models, designing distributed data systems, and ensuring pipeline quality, observability, and reliability.
Location: Bellevue, United States
Base salary: $137,300–$251,800 USD per year
Company
hirify.global is a global technology company operating an independent digital advertising platform and developing technology for connected TV and streaming.
What you will do
Design, build, and maintain data pipelines for content catalog data in the Ventura OS project.
Develop high-performance workflows for large-scale data processing using technologies such as Apache Spark.
Create secure APIs and scalable integrations connecting data sources and destinations.
Collaborate with data scientists to deploy machine learning models and algorithms in production.
Implement monitoring, observability, data quality checks, error handling, and recovery mechanisms.
Contribute to data infrastructure architecture and translate cross-functional requirements into technical solutions.
Requirements
7+ years of software development experience, including at least 5 years in data engineering or pipeline development.
Extensive experience with data warehouses such as Vertica, Snowflake, or Databricks.
Strong knowledge of distributed systems, data processing frameworks, data governance, data quality, and data modeling.
Professional experience with Java, Scala, or Python and big data technologies such as Apache Spark and Kafka.
Experience with relational and NoSQL databases, cloud platforms such as AWS, GCP, or Azure, and Kubernetes.
Ability to lead technically ambiguous projects, mentor peers, and communicate with technical and non-technical stakeholders; a degree in Computer Science, Engineering, or equivalent industry experience.
Nice to have
Experience with machine learning pipelines and MLOps for personalization, recommendations, ad tech, e-commerce, streaming, or TVOS.
Experience with content metadata, entertainment catalogs, taxonomy structures, content discovery, recommendation systems, or search technologies.
Culture & Benefits
Collaborative, innovative environment with opportunities for continuous learning and direct engineering influence on product direction.
Comprehensive medical, dental, and vision coverage with premiums paid for employees and dependents.
401(k) plan with company match, disability coverage, life insurance, and well-being benefits.
Paid vacation, sick time, around 13 paid holidays, parental leave, and tuition reimbursement for eligible expenses.
Stock-based compensation eligibility and an employee stock purchase plan with discounted company stock.
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