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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$181к-242к/год
$150к$170кмедиана$210к
По похожим ролям (49) ~ $170к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Зона ответственности описана понятно, есть техническое лидерство и современная инфраструктура данных, но фокус на загрузке данных и ADF может быть уже, чем ожидаешь от роли Principal.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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