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2 дня назад

Principal Data Engineer (Snowflake)

181 000 - 242 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Data Engineer (Snowflake): Building and scaling data pipelines from heterogeneous raw sources through staging and curated layers for analytics with an accent on Azure Data Factory orchestration, API extraction, and semi-structured data modeling. Focus on designing resilient ingestion patterns, handling schema drift and backfills, and setting technical standards across the data infrastructure.

Location: Remote, United States; company location: Carlsbad, CA, United States

Salary: USD 181,000–242,000 per year; bonus eligible

Company

hirify.global creates athletic apparel designed for movement, exercise, and everyday wear, with a casual coastal California aesthetic.

What you will do

  • Design, build, and scale data pipelines across raw/src, staging, curated, and serving layers for analytics consumption.
  • Build and maintain Azure Data Factory pipelines, data flows, linked services, integration runtimes, and triggers for ingestion and transformation.
  • Design ingestion patterns for REST/SOAP APIs, CSV and fixed-width files, JSON, XML, SFTP, and blob-based sources.
  • Develop resilient extraction logic for pagination, rate limiting, authentication, incremental or delta pulls, schema drift, validation, reprocessing, and backfills.
  • Parse and flatten nested JSON structures into relational models in Snowflake and contribute to CI/CD deployment across development, UAT, and production environments.
  • Set technical standards for pipeline design, code quality, and testing; mentor data engineers and collaborate with analytics, product, and engineering teams.

Requirements

  • Hands-on experience with Azure Data Factory, including pipelines, data flows, linked services, integration runtimes, and triggers.
  • Experience extracting and normalizing heterogeneous data from REST APIs, flat files, JSON/XML, and SFTP or blob-based drops.
  • Experience writing extraction logic with pagination, API-key or OAuth authentication, and incremental synchronization patterns.
  • Experience parsing and modeling semi-structured or nested JSON data in a cloud data warehouse, such as Snowflake VARIANT and FLATTEN.
  • 8+ years of experience in data engineering or a related field, including experience at a senior or technical lead level.
  • Strong SQL proficiency and strong proficiency in at least one data engineering language: Python, Scala, or Java.
  • Strong communication skills and experience working cross-functionally with analytics, product, and engineering teams.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience preferred.

Nice to have

  • Experience with dbt or similar transformation frameworks.
  • Familiarity with infrastructure-as-code tools such as Terraform or ARM/Bicep and broader CI/CD practices.
  • Exposure to real-time analytics or streaming technologies.

Culture & Benefits

  • Health insurance and an employee assistance program.
  • Savings and retirement plan.
  • Paid time off.
  • hirify.global discount, industry perks, and wellness and fitness benefits.
  • Equal opportunity and affirmative action employment practices.

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