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- 175 000 $ – 215 000 $
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Senior Data Engineer
Отличная вакансия с высокой прозрачной зарплатой, бонусами и впечатляющим пакетом льгот. Компания имеет признанную корпоративную культуру и работает над социально значимым продуктом с использованием современных технологий (AI).
Сложность вакансии
Роль требует глубокой экспертизы в моделировании данных и проектировании отказоустойчивых систем. Процесс отбора включает пять этапов, включая технические интервью по кодингу и архитектуре, что подтверждает высокие требования к кандидату.
Анализ зарплаты
Предлагаемая зарплата ($175k-$215k) находится на верхнем уровне рыночного диапазона для Senior Data Engineer в США, особенно с учетом дополнительных бонусов и удаленного формата работы. Это очень конкурентоспособное предложение для стабильной прибыльной компании.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Campminder. With extensive experience in building production-grade data systems and a deep passion for creating resilient, AI-enabled infrastructure, I am excited about the opportunity to contribute to your mission of enhancing the summer camp experience through digital transformation.
In my previous roles, I have specialized in designing complex data models and implementing robust pipelines that handle distributed failures and schema evolution gracefully. I am particularly drawn to Campminder's commitment to an 'AI-Enabled' approach and your focus on turning architectural designs into durable, retrieval-ready storage layers. My background in infrastructure-as-code and automated testing aligns perfectly with your requirements for operational excellence.
I admire Campminder’s values-led culture and its consistent recognition as a top place to work. I am eager to bring my technical judgment and pragmatic approach to your Data team to help build the foundations for your next generation of AI features. Thank you for considering my application.
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Откликнитесь в campminder уже сейчас
Присоединяйтесь к Campminder, чтобы создавать инновационные AI-решения для индустрии детских лагерей и работать в одной из лучших компаний по версии Outside Magazine!
Описание вакансии
Ideal start timeline: ASAP
Role status: Exempt
*Compensation: Our target hiring range is $175,000-$215,000 plus participation in our Annual Bonus Program with eligibility for $12,000 bonus. Actual compensation will be commensurate with experience and skills.*
*Campminder’s Flexible Working Location: Our employees have the option to work 100% remotely within the United States or their choice of days at home and at our office in Boulder, Colorado. We host a variety of all-company hybrid meetings and social events. We require anybody working remotely to have a very reliable, high-speed internet connection.*
We know the best people can choose to work anywhere.
Here’s a few reasons why 85+ of them choose Campminder:
- With 20+ years experience of serving the industry through its digital transformation, we’re stable, profitable, and have developed a loyal customer base (that continues to grow).
- We build software for summer camps, an industry that enables meaningful experiences for kids.
- We work on interesting, ambitious projects that create real value for our clients.
- We know our team members feel their work has an impact on the organization’s purpose.
- At the same time, we are genuinely committed to work/life balance. Our team members feel they have the flexibility to take time off when needed and feel supported in making use of flexible working arrangements.
- We invest in emerging technology and cutting-edge leadership and are proud to take an "AI-Enabled" approach in our solutions.
- We’ve been listed on Outside Magazine’s 50 Best Places to Work for 8 consecutive years for our values-led culture and employee experience.
This role’s mission & overview:
We are looking for a Senior Data Engineer to join our Data team to execute the implementation of a new data architecture. This person will play a primary role in building the systems that power our core product and AI features. They will focus on turning architectural designs into resilient, production-ready infrastructure while ensuring high standards for data modeling and operational durability.
As a Senior Data Engineer on our Data team, you will:
- Implement the core components of our data platform, including data modeling, pipelines, and retrieval-ready storage layers.
- Build operationally excellent systems, incorporating automated testing, deep observability, and robust failure handling.
- Model complex business domains by defining clear entities, event histories, and reusable datasets that reflect real-world logic.
- Develop the data foundations for AI features, focusing on structured metadata, governance, and high-fidelity source data.
- Partner with the Data team to translate technical strategies into executable plans and production code.
- Maintain the long-term health of our platform through idempotent backfill patterns and managed schema evolution.
We think a successful candidate will bring:
- Experience building and shipping production-grade data systems in cloud environments.
- Passion for doing rapid experimentation to build customer-facing features on robust data systems.
- Deep expertise in data modeling for complex domains, prioritizing accuracy and reusability.
- Proven ability to build durable systems that handle backfills, schema changes, and distributed failures gracefully.
- Pragmatic experience preparing data for machine learning workflows, including retrieval-optimized structures.
- Strong commitment to engineering fundamentals like testing, documentation, and infrastructure-as-code.
- A track record of taking technical designs and owning the execution through to deployment.
- Deep experience with cloud data platforms and the technical judgment to choose the right storage or processing pattern for the task.
Our Interview Process:
- 45 min - interview with People & Culture
- 60 min - interview with Hiring Manager
- Phase 3
1. 60 min - coding interview with Engineering team members
2. 60 min - architecture interview with Engineering team members
3. 30 min - interview with CTO
A few of the benefits we are proud to offer:
- Robust medical, dental, and vision coverage options with generous employer contributions, plus a $500 employer HSA contribution for HSA-compatible plans
- Ability to choose where you work - remotely, in the office, or a mix!
- A variety of resources to support mental health and emotional well-being
- 12 weeks of 100% paid parental leave for all new parents, including via adoption, surrogacy, and foster care
- 401(k) with 4% company matching
- Trust-Based (flexible) PTO (and yes, we use it!)
- $900/year wellness allowance
- Company-paid subscriptions, training, and support for using AI professionally and personally. We have a team dedicated to enabling our AI capabilities for our team members and our customers!
We encourage people of all backgrounds to apply:
We're actively taking steps to make sure our culture is inclusive and that our processes and practices promote equity for all, including people of color, people from working-class backgrounds, women, and members of the LGBTQ+ community. We welcome and encourage applications from people with these identities or members of other historically marginalized groups.
Research shows that women and people of color tend not to apply to jobs unless they believe they are 100% qualified and apply to fewer senior-level positions. With that in mind, we encourage you to apply if you're not sure whether you meet our qualifications. We'd love to have the opportunity to consider you!
We encourage applications from parents, parents-to-be, and those responsible for the caretaking of others. We offer paid parental leave for birthing and non-birthing parents (including for adoption, surrogacy, and foster care placement) and paid loss leave to recover from miscarriage or stillbirth. The company's HSA and wellness allowance contributions may be used toward childcare, eldercare, adoption fees, and fertility treatments like IVF, among other expenses.
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Навыки
- Infrastructure as Code
- Data Modeling
- Observability
- Data Pipelines
- Automated Testing
- Machine Learning Operations
- Metadata Management
- Cloud Data Platforms
- Schema Evolution
Возможные вопросы на собеседовании
Проверка опыта работы с реальными проблемами распределенных систем.
Расскажите о случае, когда вам приходилось обрабатывать сложные сбои в распределенных системах или проводить масштабный backfill данных. Как вы обеспечили идемпотентность?
Оценка навыков проектирования для AI-функционала.
Как бы вы спроектировали слой хранения данных, оптимизированный для быстрого поиска и извлечения (retrieval-ready), специально для функций на базе LLM?
Проверка фундаментальных знаний в моделировании.
Каков ваш подход к моделированию сложных бизнес-доменов с учетом долгосрочной эволюции схем и повторного использования данных?
Оценка навыков работы с облачной инфраструктурой.
Какие критерии вы используете при выборе между различными технологиями обработки и хранения данных в облаке (например, Snowflake vs Databricks, или Stream vs Batch)?
Проверка культуры разработки.
Как вы интегрируете принципы Infrastructure as Code (IaC) и глубокую наблюдаемость (observability) в свои пайплайны данных?
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- Страна
- Колумбия
- Зарплата
- 175 000 $ – 215 000 $