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GOAT Group

Senior Data Engineer

УдалённоUnited States только
Опубликовано
Роль
Инженерия данных
Опыт
Синьор
$128k–$160k/yr
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Доступно для: US only. Укажите, откуда вы работаете, чтобы проверить доступность.

Коротко по делу

Senior US-based data engineer with 5+ years in software/data engineering. Must have strong SQL, Python, APIs, and experience with Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, and Git. Marketplace, retail/resale, ML/data science workflow, and search/discovery exposure are pluses.

Ключевые навыки

SnowflakeDBTAirflow

Обязательные навыки

FivetranSegmentLookerAmplitudeAlgoliaAWS LambdaGitSQLPythonAPIs

Чем предстоит заниматься

  • Own the reliability, availability, and accuracy of data infrastructure, ensuring compliance with data privacy standards.
  • Build, maintain, and improve the data pipeline using the modern data stack: Snowflake, DBT, Airflow, and Looker.
  • Build centralized, durable, and reusable data models for the broader business, built with AI and ML consumption in mind.
  • Build and maintain a semantic layer with canonical dimension and metric definitions.
  • Partner with Analysts, Product Managers, Engineers, Marketing, Legal, Fraud, and other stakeholders to translate business needs into actionable data solutions.
  • Build Reverse ETL pipelines in Python.
  • Use and build APIs to move and expose data.
  • Proactively bring in new data sources.
  • Improve existing data models.
  • Establish SLAs/SLOs for key business dependencies.
  • Champion data governance and elevate the organization’s data maturity by establishing standards, closing gaps, and ensuring data is handled responsibly at every layer.
  • Own data feeds that support in-product marketing, retention communications, and Growth Marketing feeds such as Google Shopping, Meta, and TikTok.

Что требуется

  • 5+ years of engineering experience, with a strong foundation in software and data engineering, and familiarity with analytics engineering.
  • Experience with the company stack: Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, and Git.
  • Deep experience building, maintaining, and architecting data pipelines end-to-end, from ingestion through consumption.
  • Strong SQL skills and proficiency in Python.
  • Experience building and consuming APIs.
  • Has driven projects from scoping through delivery, owning outcomes and not just tasks.
  • Comfortable sitting with ambiguity but driven to resolve it.
  • Treats data quality and observability as first-class concerns.
  • Comfortable implementing monitoring and alerting practices that catch issues before the business does.
  • Builds systems that are intuitive, approachable, and easy for others to understand, extend, and maintain.
  • Pragmatic about technology choices, focused on solving business problems rather than chasing the latest tools.
  • Comfortable operating with a high degree of autonomy.
  • Self-directed and able to drive work forward while keeping the team informed and aligned.
  • Strong communicator with engineers and non-technical stakeholders.
  • Naturally elevates data literacy by educating and guiding stakeholders toward better data practices.
  • Candidate should add a quick note at the bottom of the resume explaining what drew them to Grailed and the role, plus a recent buying or selling experience on a peer-to-peer marketplace and what made it stand out or fall flat.
  • Preferred: Familiarity with ML/data science workflows and how data engineering supports them.
  • Preferred: Exposure to search and discovery platforms.
  • Preferred: Prior experience in retail, resale, or marketplace commerce.
  • Preferred: Genuine curiosity about retail, resale, or marketplace commerce.

Преимущества

  • 401K
  • Paid time off
  • Dental insurance
  • Medical insurance
  • Vision insurance
  • Disability insurance options
  • Life insurance options

Retail

🇺🇸 Соединенные ШтатыE CommerceСредняя

Детали

Способ откликаGreenhouse
$128k–$160k/yr