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correlationone
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SeniorУдалённоПолная занятость

Senior Data Engineer

Оценка ИИ

Отличная вакансия в социально значимой компании с удаленным форматом работы. Привлекательные условия (unlimited PTO) и работа с современным стеком технологий делают позицию очень перспективной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний Python, SQL и современных инструментов оркестрации (Airflow, dbt). Высокая ответственность за архитектуру данных и наставничество в быстрорастущей среде повышает планку требований.

Анализ зарплаты

Медиана125 000 $
Рынок105 000 $ – 155 000 $
Оценка ИИ

Зарплата для Senior Data Engineer в Канаде обычно варьируется от 130,000 до 170,000 CAD в год. Учитывая удаленный характер и уровень компании, можно ожидать предложение в верхней части рыночного диапазона.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Engineer position at Correlation One. With over 4 years of experience in building robust data architectures and a deep commitment to data quality, I am inspired by your mission to close the skills gap in the AI economy and provide equal access to data-driven careers.

In my previous roles, I have specialized in developing scalable Python-based pipelines and managing complex ELT processes using Airflow and dbt. I have a proven track record of integrating diverse API sources into cloud data warehouses and modeling data to empower analytics teams. My experience aligns perfectly with your need for a hands-on engineer who can navigate ambiguous environments and mentor others while maintaining high operational standards.

I am particularly drawn to Correlation One's human-led approach to learning and its impressive list of partners like Amazon and Coca-Cola. I am eager to bring my technical expertise in GCP and infrastructure-as-code to help evolve your data platform and support the organization's data-driven decision-making.

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Присоединяйтесь к миссии по созданию равного доступа к профессиям будущего и развивайте AI-экономику вместе с Correlation One!

Описание вакансии

CORRELATION ONE

Correlation Onedevelops workforce skills for the AI economy

Enterprises and governments work with us to develop talent and close critical data, digital, and technology skills gaps. Our global programs, including training programs and data competitions, also empower underrepresented communities and accelerate careers.

Our mission is to create equal access to the data-driven jobs of the future. We partner with top employers and government organizations to make that a reality, including Amazon, Coca-Cola, Johnson & Johnson, USAID, the U.S. State Department, and the U.S. Department of Defense.

Our skills training programs are 100% free for learners and are delivered virtually by industry experts to minimize traditional barriers to career advancement. We take pride in fostering supportive, human-led, group learning environments that build technical proficiency and confidence in participants.

Join us and let's shape the AI Economy together!

Your impact:

As a Senior Data Engineer, you will play a critical role in building and operating reliable, analytics-ready data systems that power decision-making across the organization. You’ll meaningfully contribute to key data pipelines, partner closely with analytics stakeholders, and help evolve our data platform to be more scalable, trustworthy, and easier to work with.

This is a hands-on role for someone who cares deeply about production data quality, is comfortable making decisions in ambiguous environments, and is motivated by building systems that other teams depend on every day.

A day in the life:

  • Develop long-term technical vision for the team
  • Design technical strategy to develop components, frameworks and libraries to create seamless applications for our customers
  • Hands-on development of scalable components and applications
  • Mentor engineers including senior and junior engineers on their team
  • Improve and uphold standards for engineering and operational excellence
  • Create and encourage comprehensive documentation for code, libraries, and components to facilitate collaboration and knowledge sharing within the team

Your expertise:

  • 4+ years of experience in data engineering or closely related roles
  • Strong experience building and maintaining production data pipelines using Python
  • Hands-on experience integrating data from external APIs
  • Experience operating batch ELT pipelines and working with data warehouses
  • Advanced SQL skills and experience modeling data for analytics and reporting use cases
  • Experience working with orchestration tools such as Airflow
  • Familiarity with dbt or similar transformation tools, and comfort working closely with analytics teams
  • Demonstrated ownership of production systems, including monitoring, debugging, and incident response
  • Comfort working in ambiguous environments and making pragmatic technical decisions
  • Experience working in a cloud environment such as GCP (or equivalent)
  • Familiarity with CI/CD practices and source control (e.g., GitHub)
  • Experience working in collaborative, iterative development environments
  • Additional preferred experience:
  • Designing or migrating pipelines toward incremental loading patterns
  • Working with infrastructure-as-code tools (e.g., Terraform)
  • Experience with data quality tooling, testing, or observability
  • Exposure to BI tools or supporting analytics workflows
  • Experience learning and adopting new tools or technologies quickly

Where you are

  • This role is remote and should be located in Canada and compatible with EST time zone.

How we support our people

  • Insurance or subsidies based on country
  • Unlimited Time Off, with a minimum time off recommendation
  • Company-paid holidays
  • Official company-wide holiday for the last week of the calendar year
  • Access to free data skills training through our programs
  • A company culture that empowers individuals and embraces diversity through its core mission

The compensation range for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions. These factors include (but are not limited to) location, experience, education and skill sets.

Correlation One’s Commitment

Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants to bring their unique skills, experiences, and outlook to our work environment.

Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidates@correlation-one.com.

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Навыки

  • Python
  • Terraform
  • GitHub
  • GCP
  • SQL
  • dbt
  • CI/CD
  • API Integration
  • Airflow
  • ETL
  • Data Modeling
  • ELT

Возможные вопросы на собеседовании

Проверка опыта работы с основным стеком и понимания процессов трансформации данных.

Расскажите о вашем опыте внедрения dbt в существующий стек: с какими сложностями вы столкнулись при моделировании данных?

Оценка навыков проектирования отказоустойчивых систем.

Как вы подходите к проектированию инкрементальной загрузки данных для API с большими объемами, чтобы минимизировать нагрузку и избежать дублей?

Проверка умения работать в облачной инфраструктуре и с инструментами автоматизации.

Опишите ваш опыт работы с Terraform или другими IaC инструментами в контексте управления ресурсами GCP или AWS.

Оценка лидерских качеств и способности развивать команду.

Был ли у вас опыт менторства других инженеров? Как вы подходите к проведению code review и установлению стандартов разработки?

Проверка навыков решения проблем в критических ситуациях.

Расскажите о самом сложном инциденте в продакшн-пайплайне, который вы исправляли. Как вы организовали мониторинг, чтобы это не повторилось?

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correlationone
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