Lead Data Engineer at Brooksource
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

95.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Snowflake, Node.Js, Data Services, Large Projects, Javascript, Devops, Data Engineering, Project Delivery, Finance, Solution Architecture, Technical Leadership

Industry

Information Technology/IT

Description

Brooksource’s retail client is looking to hire a Lead Data Engineer. This person will partner closely with Data Engineers to define, design, and drive technical solutions across corporate initiatives.
This role requires strong technical leadership, solution design, and mentorship capabilities. The ideal candidate is a well-rounded technologist who has experience leading projects and mentoring engineers, with a deep background in Azure, software engineering, and data integration.

REQUIRED QUALIFICATIONS:

  • 10+ years in engineering roles, with 7+ years leading technical teams or large projects
  • Strong experience in solution architecture, technical leadership, and project delivery
  • Comfortable managing complex technical workloads without people management duties
  • Experience working across software engineering, data engineering, and DevOps
  • Frontend/Backend Development: Next.js, React, Node.js, JavaScript, preferred
  • Cloud/DevOps: Strong Azure experience required (Data Factory, Logic Apps, Containerization)
  • Data Engineering: Azure data services, Snowflake, SaaS integrations
  • Experience in full-stack development and enterprise-scale integrations
  • Retail industry experience strongly preferred (especially in customer, finance, or supply chain domains)

How To Apply:

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Responsibilities
  • Collaborate with product owners, project managers, and engineering leads to define and manage technical work
  • Mentor junior and mid-level engineers (Software & Data)
  • Lead solution architecture and assignment of technical tasks
  • Provide hands-on support and guidance across software, data, and DevOps efforts
  • Collaborate with cross-functional teams onsite periodically
  • Integrate with external platforms and evolve internal tools using cloud-native practices
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