Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$124к-155к/год
$140к$170кмедиана$200к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Зона ответственности описана ясно: это senior-роль с ответственностью за потоковые системы данных в production и современным стеком. Ограничение по работе только из США сужает круг тех, кому доступна вакансия.
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Ниже рынкаТолько СШАСовременный стекЧёткая зона ответственности
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Software Engineer (Data Engineering): Building scalable data pipelines, data infrastructure, and streaming systems for educational platforms and analytics products with an accent on event-driven integration, schema design, and production reliability. Focus on architecting data lakes and warehouses, optimizing database performance, and ensuring observability, governance, security, and compliance.
Location: Remote within the United States; applicants must be authorized to work for any employer in the United States.
Salary: $124,000–$155,000 annually, plus a possible annual bonus and benefits.
Company
hirify.global develops digital learning experiences and educational products for learners and educators.
What you will do
Design and develop scalable data pipelines supporting educational platforms and analytics products.
Architect and maintain data lakes, warehouses, streaming systems, and related data infrastructure.
Collaborate with product managers, data scientists, analysts, instructional designers, and other stakeholders to translate educational goals into technical solutions.
Lead and mentor junior engineers, conduct code reviews, and promote engineering best practices.
Optimize database performance, query efficiency, data quality, and system reliability.
Contribute to architecture and technology roadmap decisions, while monitoring and troubleshooting production data systems.
Requirements
5+ years of software engineering experience, including at least 3 years in data engineering.
Bachelor's degree in Business, Information Technology, Computer Science, or a related field preferred.
Experience designing and deploying event-driven or streaming data integration solutions at production scale.
Hands-on expertise with Apache Kafka or a comparable streaming platform such as AWS Kinesis, Apache Pulsar, or Confluent Platform.
Proficiency in one or more of Java, Python, or Golang.
Strong knowledge of JSON Schema and event schema design, including versioning and compatibility strategies.
Experience taking streaming solutions from initial design through production deployment, QA/testing, and operational monitoring.
Experience with observability tooling for streaming pipelines, including metrics, alerting, and logging; examples include Prometheus, Grafana, and Datadog.
Familiarity with cloud-native data platforms including AWS, GCP, or Azure.
Strong communication and collaboration skills for working with technical and non-technical stakeholders.
Knowledge of data governance, compliance, and security best practices.
Nice to have
Advanced degree.
Culture & Benefits
Remote work within the United States.
Work focused on digital learning and the future of education.
Culture emphasizing innovation, teamwork, career growth, and personal well-being.
Possible annual bonus plan and a range of medical and other benefits.
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