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Sr. Data Engineer

Оценка ИИ

Отличная вакансия с современным стеком технологий, полностью удаленным форматом работы (в пределах США) и впечатляющим пакетом льгот, включая неограниченный отпуск и поддержку обучения.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний современного стека (Spark, Airflow, Iceberg) и опыта работы с облачной инфраструктурой AWS. Высокая планка ответственности за архитектуру данных и кросс-функциональное взаимодействие.

Анализ зарплаты

Медиана165 000 $
Рынок140 000 $ – 195 000 $
Оценка ИИ

Предлагаемая позиция Senior Data Engineer в США обычно оплачивается в диапазоне $140,000 - $190,000 в зависимости от штата проживания и конкретного опыта. Учитывая удаленный характер работы и широкий список штатов, зарплата, скорее всего, будет соответствовать среднерыночным показателям для опытных инженеров.

Сопроводительное письмо

I am writing to express my interest in the Senior Data Engineer position at Storable. With over five years of experience in building robust data pipelines and a deep proficiency in the AWS ecosystem, I am confident in my ability to contribute to your mission of powering the future of storage. My background in optimizing ETL processes using Apache Spark and Airflow aligns perfectly with your technical requirements.

In my previous roles, I have successfully implemented scalable data architectures using Trino and Apache Iceberg, which significantly improved data accessibility and processing speeds. I am particularly drawn to Storable's 'Win More' culture and your commitment to leveraging cutting-edge technologies like Redshift and Glue to drive business growth. I look forward to the possibility of bringing my technical expertise and collaborative mindset to your data-driven team.

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Описание вакансии

Sr. Data Engineer

At Storable, we're on a mission to power the future of storage. Our innovative platform helps businesses manage, track, and grow their self-storage operations, and we’re looking for a Sr. Data Engineer to join our data-driven team. Storable is committed to leveraging cutting-edge technologies to improve the efficiency, accessibility, and insights derived from data — empowering our teams to make smarter decisions and drive meaningful growth.

As a Sr. Data Engineer, you will play an important role in building and maintaining scalable data systems that support analytics, reporting, and product innovation. You will collaborate closely with senior engineers and cross-functional partners to ensure our data is reliable, accessible, and actionable across the organization.

Key Responsibilities:

  • Build & Maintain Data Pipelines: Design, implement, and maintain scalable data pipelines using modern data tools to process and manage large datasets efficiently.
  • ETL Development: Develop and optimize ETL/ELT pipelines to ingest, transform, and deliver data from multiple internal and external sources.
  • Workflow Orchestration: Build and manage workflows using Apache Airflow to ensure reliable scheduling and monitoring of data processes.
  • Query Engines & Processing Frameworks: Leverage tools such as Trino (Presto), Apache Spark, and related distributed processing technologies to support analytics and data applications.
  • Data Modeling & Warehousing: Contribute to schema design and data modeling efforts to ensure clean, well-structured, and scalable data architecture.
  • Data Quality & Governance Support: Implement monitoring, validation checks, and best practices to ensure data accuracy, consistency, and reliability.
  • Optimize Data Infrastructure: Utilize AWS services (S3, Redshift, Glue, Athena, Lambda) and modern data technologies (e.g., Apache Iceberg) to support a scalable and efficient data platform.
  • Cross-Functional Collaboration: Partner with engineering, product, analytics, and business teams to understand requirements and deliver high-quality data solutions.
  • Monitor & Improve Performance: Proactively monitor pipelines and workflows, troubleshoot issues, and continuously improve performance and reliability.

Qualifications:

  • 5+ years of experience building and maintaining data pipelines or working in data engineering or related roles.
  • Hands-on experience with data tools such as Apache Airflow, Apache Spark, Apache Iceberg, Trino/Presto, and AWS services (S3, Redshift, Glue, Athena, Lambda).
  • Proficiency in Python (or similar language) for data processing and pipeline development.
  • Solid understanding of data warehousing concepts, schema design, and data modeling best practices.
  • Experience deploying and supporting data pipelines in production environments.
  • Strong analytical skills and ability to diagnose and resolve data-related issues.
  • Ability to communicate effectively with both technical and non-technical stakeholders and work in cross-functional teams.

Bonus Points:

  • Experience with visualization tools such as Looker or Tableau.
  • Exposure to data governance, privacy, and quality frameworks.
  • Familiarity with CI/CD practices and version control for data workflows.

All applicants must be currently authorized to work in the United States on a full-time basis.

Storable is a fully distributed company, but is currently only registered for employment in certain states. To be eligible for employment, you must reside in the following states:  AL, AZ, CA, CO, CT, FL, GA, ID, IL, IN, IA, KS, LA, MD, MA, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI, WY.

About Us:

At Storable, we’re redefining property management for specialty real estate. Tailored for the self-storage, marine, and RV & camping industries, we seamlessly integrate management software with marketplace listings, websites, CRM, insurance, payments and more. Dedicated to empowering owners and operators, Storable helps you win more every day. Explore our platform solutions atwww.storable.com.

At the heart of Storable is our “Win More” culture, which reflects our commitment to delivering exceptional value to our customers and fostering the personal and professional growth of our employees. We strive to empower our team and our customers to achieve and win more than ever before.

Benefits and Perks:

  • Generous health coverage for you and your family, including fully paid short- and long-term disability coverage and two-times base salary life insurance.
  • 401(k) match after 60 days, 100% vested after 1 year.
  • Employer contribution to your HSA, plus an HRA to help offset your deductible.
  • Instant access to flexible vacation. We trust you, so we have a ‘take what you need’ vacation policy.
  • Be More – company rewards and recognition that add up and can be redeemed for personalized gifts and experiences! Storriors have been able to enroll in SCUBA certification classes, travel overseas, and redo their back patio, among many other things.
  • 8 hours of Volunteer Time Off each year and the opportunity to get active in the community by joining one of our offsite volunteer and community service events.
  • 8 hours of Rest, Relax, Recharge time to care for your mental health.
  • Access a range of mental well-being resources for yourself and your dependents, including counseling services, stress management programs, and mindfulness workshops
  • Fully paid parental leave: 12 and 6 weeks for primary and secondary caregivers, respectively.
  • ’Paw’ternity Leave and Pet Bereavement - we understand that pets are a part of the family and have generous time-off policies, which honor that commitment.
  • Caregiver Leave: four weeks of fully paid time away from work to care for aging dependents or family members, if needed.
  • $50 monthly home data stipend, plus a home office sign-on bonus of $250.
  • Fertility care support options to help in your journey towards parenthood.
  • Access to financial experts to help you make informed decisions and achieve your financial goals.
  • Direct Student Loan Payment Program, some qualifications and eligibility rules apply.

Storable is committed to providing equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Storable will provide reasonable accommodations for qualified individuals with disabilities.

Important Notice: To protect yourself from fraudulent activities, please consider the following:

  • Official Communication: All genuine communication from Storable will come from official email addresses, ending in “@storable.com.” Be cautious of any communication that doesn’t match this criteria.
  • No Unsolicited Offers: We do not extend job offers without a formal interview process. If you receive an unsolicited job offer claiming to be from Storable or any of its representatives, it’s a red flag.
  • Verification: If you’re uncertain about the legitimacy of any job offer or communication claiming to be from Storable, please contact our HR department directly at POps@storable.com for verification.

Your security and trust are paramount to us. If you suspect you’ve been contacted by someone falsely claiming to be from Storable or using our company's name for any dubious purpose, please immediately report the incident to POps@storable.com

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Навыки

  • Python
  • Apache Airflow
  • Apache Spark
  • Apache Iceberg
  • Trino
  • Presto
  • AWS
  • Amazon S3
  • Amazon Redshift
  • AWS Glue
  • Amazon Athena
  • AWS Lambda
  • ETL
  • Data Modeling
  • SQL

Возможные вопросы на собеседовании

Проверка опыта работы с распределенными системами обработки данных, указанными в вакансии.

Расскажите о вашем опыте оптимизации производительности в Apache Spark при работе с крупными наборами данных.

Вакансия делает упор на современные форматы таблиц.

Какие преимущества дает использование Apache Iceberg в архитектуре данных по сравнению с традиционными подходами?

Оркестрация является ключевой частью обязанностей.

Как вы организуете мониторинг и обработку сбоев в сложных DAG в Apache Airflow?

Роль включает проектирование схем.

Опишите ваш подход к проектированию масштабируемой схемы данных для аналитического хранилища (например, в Redshift).

Проверка навыков работы с облачными сервисами AWS.

В каких сценариях вы бы предпочли использовать AWS Athena вместо Redshift для анализа данных?

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