Lead Data Engineer: Azure Data Factory & Pipelines

SmartRecruiters, Inc.

Carlsbad (CA)

On-site

USD 173,000 - 222,000

Full time

7 days ago
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Benefits offered by this job

Health Insurance
Savings and Retirement Plan
Employee Assistance Program
Paid Time Off
Wellness & Fitness benefits

Job summary

Vuori is seeking a Principal Data Engineer to design, build, and scale data pipelines that feed analytics across the platform. You’ll own end-to-end ingestion, staging, and serving layers and set technical direction for the data infrastructure.

Collaborate with data engineers, analysts, and product teams to define patterns for REST APIs, flat files, JSON/XML, and SFTP drops; implement robust ingestion, testing, and schema enforcement; and contribute to CI/CD via Azure DevOps and GitHub Actions.

Qualifications

  • 8+ years in data engineering or a senior/lead role.
  • Strong SQL and programming in Python, Scala, or Java.
  • Experience with cloud data warehouses and semi-structured data.
  • Ability to design robust, scalable data pipelines.
  • Excellent cross-functional collaboration and communication.

Responsibilities

  • Own end-to-end data pipeline design from ingestion to serving.
  • Implement and maintain reliable data ingestion patterns across sources.
  • Mentor other data engineers and set coding standards.
  • Ensure data quality through validation and testing.
  • Contribute to CI/CD and infrastructure-as-code practices.

Skills

ADF (Azure Data Factory)
SQL
Python
Snowflake
REST APIs
JSON/XML
ETL Pipelines
CI/CD
SFTP
Data modeling

Education

Bachelor's in CS/Engineering

Tools

dbt
Azure DevOps
GitHub Actions
Snowflake

Job description

Vuori is seeking a Principal Data Engineer to design, build, and scale data pipelines that feed analytics across the platform. You’ll own end-to-end ingestion, staging, and serving layers and set technical direction for the data infrastructure.

Collaborate with data engineers, analysts, and product teams to define patterns for REST APIs, flat files, JSON/XML, and SFTP drops; implement robust ingestion, testing, and schema enforcement; and contribute to CI/CD via Azure DevOps and GitHub Actions.

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