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
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.
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.