Principal Data Engineer
At a glance
Senior Data Engineering role at Vuori, Inc. Remote, United States · full-time · $173,000–$222,495 base.
dataroles summary, based on the employer's posting.
What you'll do
- Move raw data through staging and curated layers, validating and testing transformations before analytics use
- Build Azure Data Factory workflows that coordinate data intake and transformation across source, curated, and serving layers
- Create ingestion for APIs, files, JSON, and XML, including resilient handling of pagination, rate limits, incremental pulls, and schema changes
- Load SFTP and blob files at scale, enforcing schemas and supporting checks, reprocessing, and backfills for malformed or late arrivals
- Set pipeline design, code quality, and testing standards, and guide other data engineers
What you bring
- At least eight years in data engineering or a related discipline, including senior or technical-lead work
- Hands-on Azure Data Factory experience with pipelines, data flows, linked services, integration runtimes, and triggers
- Experience extracting and shaping data from APIs, flat files, JSON/XML, and SFTP or blob storage
- Strong SQL skills plus proficiency in Python, Scala, or Java
- Experience handling pagination, authentication, and incremental synchronization in extraction code
Who this fits
This suits a senior, hands-on data engineer ready to set technical direction and mentor teammates while working with analytics, product, and engineering. The role is based in Carlsbad and listed as remote.
From the employer
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.
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
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
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.
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