Principal Data Engineer
$181,000 - $242,000 per year
Apply now (opens in a new tab)Principal Data Engineer
L6
$181,000 - $242,000 per year
- 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
- 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
- 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 PerksPaid Time OffWellness & Fitness benefits
Level
LeadL6
Salary
$181,000 - $242,000 per year
Location
Denver, CO
Occupation
Data Warehousing Specialists
Industry
Computer Systems Design Services
Posted
yesterday
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