Principal Data Engineer

Posted 6 Days Ago
Hiring Remotely in Carlsbad, CA, USA
In-Office or Remote
173K-222K Annually
Senior level
Fashion
The Role
Designs, builds, and scales data pipelines across raw, staging, curated, and serving layers. Develops Azure Data Factory ingestion and transformation workflows for APIs, files, JSON, XML, and SFTP sources; handles pagination, authentication, schema drift, validation, and backfills. Models semi-structured data in Snowflake, contributes to CI/CD deployments, establishes pipeline standards, and mentors data engineers while partnering with analytics, product, and engineering teams.
Summary Generated by Built In
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.

Skills Required

  • Hands-on experience with Azure Data Factory pipelines, data flows, linked services, integration runtimes, and triggers
  • Experience extracting and normalizing data from REST APIs, flat files, JSON/XML, and SFTP or blob-based drops
  • Experience handling API pagination, authentication including API keys and OAuth, and incremental synchronization patterns
  • Experience parsing and modeling semi-structured or nested JSON data within a cloud data warehouse such as Snowflake
  • 8+ years of experience in data engineering or a related field, including senior or technical lead experience
  • Strong proficiency in SQL and at least one of Python, Scala, or Java
  • Strong communication skills and cross-functional experience with analytics, product, and engineering teams
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Experience with dbt or similar transformation frameworks
  • Familiarity with infrastructure-as-code using Terraform, ARM, or Bicep and broader CI/CD practices
  • Exposure to real-time analytics or streaming technologies

Vuori Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vuori and has not been reviewed or approved by Vuori.

  • Wellbeing & Lifestyle Benefits — The employee discount and fitness-oriented perks (team workouts, local class access, and occasional free apparel) stand out as high‑value components of total compensation, especially in store roles. These benefits are often cited as meaningful add‑ons that enhance day‑to‑day experience and perceived value.
  • Leave & Time Off Breadth — Paid time off, holidays, and parental leave frameworks are described as solid for full‑time staff, with some corporate roles noting especially generous policies. Strong PTO signals contribute to a more favorable view of the overall package.
  • Healthcare Strength — Medical, dental, and vision coverage are available to eligible full‑time employees across many roles. The presence of comprehensive core coverage is frequently included as a standard part of the full‑time offering.

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The Company
HQ: Carlsbad, CA
424 Employees
Year Founded: 2015

What We Do

Vuori is built to move and sweat in, yet designed with a West Coast aesthetic that transitions effortlessly into everyday life. Breaking down the boundaries of traditional activewear, we are a new perspective on performance apparel.

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