7 дней назад
Principal Data Engineer (Azure/Snowflake)
173 000 - 222 495$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Data Engineer (Azure/Snowflake): Building and scaling data pipelines from heterogeneous APIs and files into curated analytics layers with an accent on Azure Data Factory orchestration, Snowflake modeling, and reliable ingestion. Focus on designing resilient extraction logic, handling schema drift and semi-structured JSON, and setting technical standards for CI/CD, testing, and pipeline architecture.
Location: Remote; company address in Carlsbad, California, USA
Salary: USD 173,000–222,495 per year, plus bonus eligibility
Company
creates athletic apparel inspired by an active coastal California lifestyle, combining performance, casual design, fitness, and everyday wear.
What you will do
- Design, build, and scale data pipelines across raw, staging, curated, and serving layers.
- Build and maintain Azure Data Factory pipelines for ingestion and transformation orchestration.
- Develop ingestion patterns for REST and SOAP APIs, CSV and fixed-width files, JSON, XML, SFTP, and blob-based sources.
- Implement resilient API extraction with authentication, pagination, rate limiting, incremental synchronization, and schema-drift handling.
- Parse nested JSON payloads into queryable relational structures in Snowflake and manage file validation, reprocessing, and backfills.
- Set technical standards, contribute to CI/CD deployments across development, UAT, and production, and mentor data engineers.
Requirements
- 8+ years of experience in data engineering or a related field, including senior or technical lead experience.
- Hands-on experience with Azure Data Factory pipelines, data flows, linked services, integration runtimes, and triggers.
- Experience extracting and normalizing heterogeneous data from APIs, flat files, JSON/XML, SFTP, and blob-based sources.
- Experience modeling semi-structured and nested JSON data in a cloud data warehouse such as Snowflake.
- Strong SQL skills and proficiency in Python, Scala, or Java.
- Experience collaborating with analytics, product, and engineering teams; a relevant bachelor's degree or equivalent practical experience is preferred.
Nice to have
- Experience with dbt or similar transformation frameworks.
- Familiarity with Terraform, ARM/Bicep, and broader CI/CD practices.
- Exposure to real-time analytics or streaming technologies.
Culture & Benefits
- Health insurance and a savings and retirement plan.
- Paid time off and employee assistance support.
- discounts and industry perks.
- Wellness and fitness benefits.
- Remote workplace arrangement within a fast-paced retail and technology environment.
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