Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
развернуть
80к-100к CAD/год
110к CAD180к CADмедиана210к CAD
По похожим ролям (7) ~ 180к CAD/год
На СНГ рынке: $2.2к/мес ($1.5к - $3.1к)
84
Хорошая вакансия
развернуть
Обязанности понятны и сочетают инженерную работу с данными и разработку бэкенда, а решения используются в важной для общества сфере; главное ограничение - работать можно только из Онтарио.
Актуальный стек
Понятные задачи
Польза для общества
?Только Онтарио
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineering Developer II (Python/Snowflake/Airflow/AI): Building and supporting production data pipelines, backend services, and infrastructure for connected water technologies with an accent on ingestion, orchestration, APIs, data quality, and scalable processing. Focus on developing streaming and batch workflows, troubleshooting reliability and performance issues, and preparing data infrastructure for analytics and AI solutions.
Location: Remote within Ontario, Canada; the interview process includes onsite interviews.
Compensation: CAD 80,000–100,000 per year, plus eligibility for bonus pay.
Company
hirify.global is a water quality company within Veralto, a global provider of essential technology solutions supporting clean water, safe food, medicine, and trusted goods.
What you will do
Develop and support data pipelines using Snowflake, Airflow, Python, and related technologies.
Maintain and improve Stream application backend services, server-side business logic, and API endpoints.
Build and support ingestion, storage, processing, and orchestration workflows for streaming and batch data.
Monitor production pipelines and troubleshoot reliability, security, performance, data quality, and integrity issues.
Implement pipeline and storage performance improvements, data quality checks, and proactive failure monitoring.
Collaborate with AI Engineers, Data Engineers, software developers, QA, management, and business stakeholders while documenting pipelines, APIs, and data dictionaries.
Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
3+ years of experience designing, building, and managing end-to-end data pipelines from scratch for SQL-based databases.
Experience developing Apache Airflow DAGs or using a comparable orchestration platform, including scheduling, dependencies, monitoring, and troubleshooting.
Experience building Python data forwarders and ingestion processes for streaming and batch workloads.
Strong hands-on Python and SQL expertise for developing, troubleshooting, and optimizing production data workflows.
Practical engineering mindset focused on reliable, maintainable, and scalable data infrastructure supporting analytics, applications, and AI solutions.
Experience working in Agile/Scrum environments, managing sprint commitments, and troubleshooting technical issues.
Nice to have
Experience designing or implementing user-facing functionality in data or web applications.
Experience sharing technical knowledge and supporting peer development.
Exposure to AI or machine learning workflows, especially feature engineering or data preparation for model training.
Experience implementing AI solutions.
Experience with IoT or time-series data in an industrial or operational technology environment.
Culture & Benefits
Work on production systems supporting connected technologies, remote monitoring, analytics, and AI use cases for clean water.
Collaborative environment with contributions from Data and AI Engineering, software development, QA, and business teams.
Remote work within Ontario, with onsite interviews during the hiring process.
Comprehensive benefits package for eligible employees, including paid time off and medical, dental, and vision insurance.
Opportunity to work within Veralto, a global organization with more than 16,000 associates.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →