Principal Data Engineer

vuoriinc· HQ - Technology
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🌍 Remote📍 Carlsbad, CA, United StatesFull time

About this role

Company Description

Vuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression and life. Our high energy fast paced retail environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success.

Job Description

We're looking for a Principal Data Engineer to design, build, and scale the data pipelines that bring data into our platform and make it ready for analytics. You'll work across the full pipeline lifecycle — from raw ingestion of heterogeneous sources through staging and curated layers — while playing a leading role in setting technical direction for our broader data infrastructure. You'll partner closely with fellow data engineers, data modelers, analysts, and product teams on what gets built next, and help raise the technical bar across the team. 

What you'll get to do:

  • Move data through the full pipeline lifecycle — raw/src, staging, and curated layers — applying appropriate transformation, validation, and testing at each stage to prepare data for analytics consumption 
  • Build and maintain Azure Data Factory (ADF) pipelines to orchestrate ingestion and transformation across source, curated, and serving layers 
  • Design ingestion patterns for a range of raw source formats — REST/SOAP APIs, flat files (CSV, fixed-width), JSON, and XML — landing them reliably into the src layer before transformation 
  • Build resilient API extraction logic handling pagination, rate limiting, incremental/delta pulls, and schema drift from third-party sources 
  • Parse and flatten semi-structured JSON payloads (nested objects, arrays) into queryable relational structures within Snowflake 
  • Handle file-based ingestion at scale — SFTP/blob drops, file validation, schema enforcement, and reprocessing/backfill logic for late or malformed files 
  • Contribute to ADF pipeline CI/CD, deploying through Azure DevOps/GitHub Actions across dev/UAT/prod environments 
  • Set technical standards for pipeline design, code quality, and testing, and mentor other data engineers on the team 

Qualifications

Who you are:

  • Hands-on experience with Azure Data Factory (ADF) — pipelines, data flows, linked services, integration runtimes, and triggers 
  • Experience extracting and normalizing raw data from heterogeneous sources: REST APIs, flat files, JSON/XML, and SFTP/blob-based drops 
  • Comfortable writing extraction logic that handles pagination, authentication (API keys, OAuth), and incremental sync patterns 
  • Experience parsing and modeling semi-structured/nested JSON data within a cloud data warehouse (e.g., Snowflake VARIANT/FLATTEN) 
  • 8+ years of experience in data engineering or a related field, including experience operating at a senior or technical lead level 
  • Strong proficiency in SQL and at least one programming language commonly used in data engineering (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 
  • Experience with dbt or similar transformation frameworks 
  • Familiarity with infrastructure-as-code (Terraform, ARM/Bicep) and broader CI/CD practices 
  • Exposure to real-time analytics or streaming technologies 

Additional Information

Our investment in you:

At Vuori, we’re proud to offer the following to our employees: 

  • Health Insurance 
  • Savings and Retirement Plan  
  • Employee Assistance Program 
  • Generous Vuori Discount & Industry Perks 
  • Paid Time Off  
  • Wellness & Fitness benefits  

The salary range for this role is $173,000 per year - $222,495 per year. This role is bonus eligible. 

Vuori is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.  

All your information will be kept confidential according to EEO guidelines.

Frequently Asked Questions

Is the salary disclosed for the Principal Data Engineer position at vuoriinc?
The salary for this Principal Data Engineer role at vuoriinc is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Principal Data Engineer job at vuoriinc remote?
Yes, this Principal Data Engineer position at vuoriinc is remote, with team members based in Carlsbad, CA, United States. You can work from home or anywhere in the supported regions.
Is the Principal Data Engineer role at vuoriinc full-time or part-time?
This is listed as a Full time position. It is posted as a Principal Data Engineer role in the HQ - Technology department at vuoriinc.
Which team or department does the Principal Data Engineer at vuoriinc belong to?
This Principal Data Engineer position is part of the HQ - Technology department at vuoriinc. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Principal Data Engineer position at vuoriinc?
Click the "Apply Now" button on this page. You will be redirected to vuoriinc's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the Principal Data Engineer job at vuoriinc posted?
This Principal Data Engineer position at vuoriinc was posted on Sep 23, 2026. Apply as soon as possible — early applications are often reviewed first.
Principal Data Engineer
vuoriinc
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