Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$88к-97к/год
$160к$180кмедиана$200к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $3.7к/мес ($3.1к - $4.3к)
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Задачи чётко сосредоточены на production-пайплайнах и их надёжности; есть ответственность за результат и наставничество в социально значимой образовательной компании.
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Заметно ниже рынкаАктуальный стекЧёткая зона ответственностиОбразовательная миссия
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer, Analytics (Data Pipelines/Cloud Warehousing): Building and operating reliable, scalable data pipelines, integrations, and analytics datasets with an accent on dbt modeling, Snowflake, Fivetran, monitoring, and secure platform operations. Focus on diagnosing production failures, improving reliability and cost efficiency, establishing engineering standards, and delivering preventative fixes through root-cause analysis.
Location: Remote, United States
Salary: $88,000–$97,000 annual base salary; the offered salary may vary based on location, experience, skills, and internal equity.
Company
hirify.global is a for-profit Public Benefit Corporation that develops research-based, knowledge-rich math, science, and ELA curricula and related educator-support products.
What you will do
Lead end-to-end delivery of complex data pipelines and integrations, including source onboarding, secure connectivity, Fivetran ingestion, validation, deployment, documentation, and operational handoff.
Provide advanced support across ingestion, transformation, orchestration, monitoring, and warehouse operations, owning outcomes and incident resolution.
Design and maintain dbt or comparable models that turn raw data into tested, documented, consumption-ready datasets.
Establish standards for pipeline development, including naming, load strategies, data contracts, error handling, testing, and deployment practices.
Own reliability through monitoring, alerting, SLAs/SLOs, incident response, root-cause analysis, and preventative fixes.
Improve warehouse and pipeline performance, cost efficiency, security, data quality, CI/CD, change management, and technical collaboration while mentoring engineers.
Requirements
5+ years of experience in data engineering, data platforms, or data operations, with demonstrated ownership of production pipelines and reliability.
Advanced SQL and proven experience diagnosing and resolving ingestion failures, schema drift, anomalies, performance bottlenecks, and other production issues.
Hands-on dbt or comparable experience building and maintaining modular cloud-warehouse data models with testing and documentation.
Production experience with a modern cloud data warehouse; Snowflake is strongly preferred, including object management, performance, and access patterns.
Production experience with managed ingestion tooling; Fivetran is preferred, including connector troubleshooting and scaling.
Experience implementing monitoring, alerting, and operational processes that improved reliability, MTTR, or freshness.
Strong communication across technical and non-technical stakeholders and strong prioritization skills that balance immediate fixes with long-term platform health.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative discipline.
Culture & Benefits
Full-time, permanent employment in a remote United States role.
Work focuses on supporting trusted analytics and reporting across a mission-driven education organization.
New employees must successfully complete a background check.
hirify.global is an equal opportunity employer.
Hiring process
Submit a cover letter and resume to be considered.
Applicant communications will come only from greatminds.org or greatminds.recruitee.com email domains; suspicious requests for banking or sensitive information should be reported to hirify.global security.
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