4 дня назад
Senior Data Engineer (Snowflake)
108 800 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Snowflake): Building and scaling reliable data infrastructure and reusable data models for a peer-to-peer fashion resale marketplace with an accent on pipeline architecture, semantic modeling, and data governance. Focus on developing Python Reverse ETL pipelines, implementing observability and SLAs/SLOs, and supporting AI/ML, marketing, and growth data consumption.
Location: Remote US
Salary: $108,800–$160,000 USD per year, with geographic pay tiers based on the employee’s U.S. home state.
Company
operates GOAT, Flight Club, Grailed, and alias, providing sneaker, apparel, accessory, and fashion resale marketplaces to more than 60 million members across 170 countries.
What you will do
- Own the reliability, availability, accuracy, privacy, and governance of data infrastructure.
- Build, maintain, and improve end-to-end data pipelines using Snowflake, dbt, Airflow, and related tools.
- Develop centralized, reusable data models and a semantic layer with canonical dimensions and metrics.
- Build Reverse ETL pipelines in Python and use APIs to move and expose data.
- Partner with Analysts, Product Managers, Engineers, Marketing, Legal, Fraud, and executive stakeholders to translate business needs into data solutions.
- Maintain data feeds supporting in-product marketing, retention communications, and growth marketing platforms such as Google Shopping, Meta, and TikTok.
Requirements
- 5+ years of engineering experience across software and data engineering, with familiarity with analytics engineering.
- Hands-on experience with Snowflake, dbt, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, and Git.
- Deep experience architecting and maintaining data pipelines from ingestion through consumption.
- Strong SQL and Python skills, including experience building and consuming APIs.
- Experience with data quality, observability, monitoring, alerting, SLAs, and SLOs.
- Strong communication skills and the ability to work autonomously with technical and non-technical stakeholders.
Nice to have
- Familiarity with ML and data science workflows.
- Exposure to search and discovery platforms.
- Experience in retail, resale, marketplace commerce, or related domains.
Culture & Benefits
- Remote work within the United States.
- Benefits include 401(k), paid time off, dental, medical, vision, disability, and life insurance options.
- Data-focused collaboration with engineering, product, marketing, legal, fraud, and leadership stakeholders.
- Applicants should add a short note to their resume describing their interest in Grailed and a recent peer-to-peer marketplace buying or selling experience.
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 →