- Страна
- США
- Зарплата
- 145 000 $ – 180 000 $
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Sr. Data Engineer
Отличная вакансия с прозрачной и конкурентной зарплатой, современным стеком технологий и впечатляющим пакетом льгот. Полностью удаленная работа в США с акцентом на баланс работы и личной жизни.
Сложность вакансии
Роль требует глубоких технических знаний (Trino, Spark, Iceberg) и более 6 лет опыта. Высокая планка ответственности за архитектуру данных и лидерские качества делают позицию сложной, но интересной.
Анализ зарплаты
Предлагаемый диапазон $145k–$180k полностью соответствует рыночным ожиданиям для позиции Senior Data Engineer в США, где медиана составляет около $165k. Верхняя граница в $180k является весьма привлекательной даже для дорогих технологических хабов.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Storable. With over 6 years of experience in building scalable data infrastructure and a deep expertise in the modern data stack—specifically AWS, Apache Airflow, and Spark—I am confident in my ability to contribute to your mission of powering the future of storage. My background in implementing robust data governance frameworks and optimizing complex ETL pipelines aligns perfectly with Storable's focus on data quality and accessibility.
In my previous roles, I have successfully managed large-scale datasets using Trino and Apache Iceberg, which has allowed me to drive significant improvements in data processing efficiency. I am particularly drawn to Storable's 'Win More' culture and your commitment to fostering professional growth. I am eager to bring my technical leadership and analytical mindset to your distributed team to help turn data into actionable insights that drive business growth.
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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 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 team to make smarter decisions and foster impactful growth.
As a Data Engineer, you will play a pivotal role in shaping our data operations, ensuring that our data is organized, accessible, and effectively managed across the organization. You will work closely with cross-functional teams and drive the development of strategies to enhance data quality, availability, and security.
Key Responsibilities:
- Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines using industry-standard tools to efficiently process and manage large-scale datasets.
- Ensure Data Quality & Governance: Implement data governance policies and frameworks to ensure data accuracy, consistency, and compliance across the organization.
- ETL Development: Build, optimize, and maintain ETL pipelines for ingesting, transforming, and delivering large datasets from multiple sources.
- Workflow Orchestration: Manage and schedule complex workflows using Apache Airflow.
- Query Engines & Processing Frameworks: Leverage Trino (Presto), Apache Spark, and other
- Manage Cross-Functional Collaboration: Partner with engineering, product, and business teams to make data accessible and actionable, and ensure it drives informed decision-making.
- Optimize Data Infrastructure: Leverage modern data tools and platforms (e.g., AWS, Apache Airflow, Apache Iceberg) to create an efficient, reliable, and scalable data infrastructure.
- Monitor & Improve Performance: Proactively monitor data processes and workflows, troubleshoot issues, and optimize performance to ensure high reliability and data integrity.
Qualifications:
- Proven Expertise in Data Management: 6+ years of significant experience in managing data infrastructure, data governance, and optimizing data pipelines at scale.
- Technical Proficiency: 5+ years of strong hands-on experience with data tools and platforms such as Apache Airflow, Apache Iceberg, and AWS services (S3, Lambda, Redshift, Glue, Athena).
- Data Pipeline Mastery: Familiarity with designing, implementing, and optimizing data pipelines and workflows in Python or other languages for data processing.
- 5+ years of hands-on experience with Trino/Presto and Apache Spark for distributed data processing.
- Solid understanding of data modeling, warehousing concepts, and schema design.
- Experience with Data Governance: Solid understanding of data privacy, quality control, and governance best practices.
- Leadership Skills: Ability to lead and mentor teams, influence stakeholders, and drive data initiatives across the organization.
- Analytical Mindset: Strong problem-solving abilities and a data-driven approach to improve business operations.
- Excellent Communication: Ability to communicate complex data concepts to both technical and non-technical stakeholders effectively.
- Bonus Points: Experience with visualization tools (e.g., Looker, Tableau) and reporting frameworks to provide actionable insights.
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
Pay Transparency at Storable
At Storable, we believe in the power of transparency to help our employees Do More and Win More. We value our employees and want to ensure equity and fairness in compensation, which is why we make sure to include the salary range or hourly rate in each job posting.The range listed below is reflective of the base salary market potential for the role over time. The compensation we will offer for this role is within this range and is based on our internal budget along with your skills and experience level. Please talk to your recruiter about the variable pay plan and earning potential for this role.
Potential Pay Range
$145,000—$180,000 USD
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Навыки
- Python
- Apache Airflow
- Apache Spark
- Trino
- Presto
- Apache Iceberg
- AWS
- Amazon S3
- AWS Lambda
- Amazon Redshift
- AWS Glue
- Amazon Athena
- ETL
- Data Governance
- Data Modeling
- Data Warehousing
Возможные вопросы на собеседовании
Вакансия требует 5+ лет опыта работы с Trino и Spark для распределенной обработки.
Расскажите о самом сложном случае оптимизации производительности в Trino или Spark, с которым вы сталкивались при работе с петабайтными объемами данных.
В описании подчеркивается важность Apache Iceberg для инфраструктуры.
Какие преимущества дает использование Apache Iceberg в связке с AWS S3 по сравнению с традиционными форматами таблиц в вашем опыте?
Упоминается необходимость внедрения политик управления данными (Data Governance).
Как вы подходите к обеспечению качества и согласованности данных в распределенной среде, где данные поступают из множества источников?
Роль предполагает управление сложными рабочими процессами.
Опишите ваш подход к проектированию отказоустойчивых DAG в Apache Airflow для критически важных бизнес-процессов.
Вакансия требует умения наставлять команду и влиять на стейкхолдеров.
Приведите пример, когда вам пришлось убеждать руководство или кросс-функциональную команду принять новое технологическое решение в области данных.
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- Страна
- США
- Зарплата
- 145 000 $ – 180 000 $