Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$115к-145к/год
$140к$160кмедиана$200к
По похожим ролям (50) ~ $160к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
59
Средняя вакансия
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Обязанности понятны, стек актуальный, а Company hidden - крупный известный медиабизнес. Но зарплата ниже рыночного ориентира, а обязательные четыре дня в офисе ограничивают гибкость.
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Ниже рынкаМного офисаАктуальный стекПонятные задачиКрупная компания
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Big Data/Data Pipelines): Building and maintaining scalable systems and pipelines that ingest, process, and store large volumes of data for streaming media services with an accent on reliability, data quality, distributed platforms, and real-time processing. Focus on integrating data science solutions into streaming architectures, implementing CI/CD and observability, and solving scalability and resiliency challenges across cloud environments.
Location: New York, United States. Hybrid schedule requiring work from the office a minimum of four days per week; an in-person interview may be required.
Salary: $115,000–$145,000 yearly.
Company
hirify.global is a media and entertainment company producing and distributing film, television, streaming, news, sports, and theme park content through brands including Peacock, NBC, Bravo, and Universal Pictures.
What you will do
Design, develop, and maintain reliable, testable data systems and pipelines.
Build data ingestion, processing, storage, real-time, and automated batch implementations using internal and external data sources.
Prepare high-quality features and access data at the appropriate granularity for analytical and modeling projects.
Partner with business stakeholders to define requirements, KPIs, and acceptance criteria.
Collaborate with software and data architects to integrate data science solutions into streaming service architecture.
Lead or participate in design reviews, peer reviews, architecture discussions, knowledge sharing, and incident diagnosis using observability systems.
Requirements
Bachelor’s degree in computer science, information technology, or a related field.
5+ years of experience with big data, ETL, pipeline development, analysis, and programming.
Experience building scalable, distributed, highly available, and resilient systems with platforms such as Snowflake, Databricks, GCP, or AWS.
Strong SQL and data processing skills, plus experience with data visualization.
Experience with software repositories, CI/CD pipelines, test automation, and SRE practices in cloud environments.
Familiarity with Agile methodologies, including Scrum and Kanban.
Nice to have
Production exposure to CDNs for streaming media delivery; training can be provided.
Experience with multi-billion-record datasets and projects spanning data science and data engineering.
Knowledge of enterprise-level digital analytics platforms.
Experience with Snowflake or similar data services.
Culture & Benefits
Collaborative and team-oriented environment with knowledge-sharing across engineering, architecture, data science, and business teams.
Company-sponsored medical, dental, and vision insurance.
401(k), paid leave, tuition reimbursement, discounts, and other benefits.
Inclusive workplace focused on respect, authenticity, community impact, and employee development.
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