Analytics Engineering Lead — APIs, CI/CD & Cloud ML

Polluxa, Inc.

Seattle (WA)

On-site

USD 160,000 - 230,000

Full time

14 days+

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Job summary

Polluxa, Inc. is seeking an Engineering Manager for Analytics Engineering to lead and grow a team responsible for designing, developing, and deploying analytics solutions.

You will oversee API authentication/authorization, CI/CD, and call management, working with cross-functional partners to deliver scalable analytics capabilities. The ideal candidate has 5+ years of leadership experience, deep analytics engineering expertise, and strong cloud proficiency (AWS).

Qualifications

  • 5+ years of experience leading high-performing teams.
  • Strong expertise in analytics engineering, including API authentication/authorization, CI/CD, and call management.
  • Experience with cloud-based technologies, such as AWS.
  • Excellent communication and leadership skills.
  • Strong understanding of machine learning and data science concepts.

Responsibilities

  • Lead a team of engineers in designing, developing, and deploying analytics solutions.
  • Oversee API authentication and authorization, CI/CD, and call management.
  • Collaborate with cross-functional teams to ensure seamless integration and delivery of analytics capabilities.
  • Develop and implement technical strategies to improve analytics engineering capabilities.
  • Mentor and coach engineers to improve their skills and knowledge.

Skills

Leadership
Analytics engineering
API authentication/authorization
CI/CD
Call management
Communication
ML concepts
Data science concepts
Cloud computing

Tools

AWS

Job description

Polluxa, Inc. is seeking an Engineering Manager for Analytics Engineering to lead and grow a team responsible for designing, developing, and deploying analytics solutions.

You will oversee API authentication/authorization, CI/CD, and call management, working with cross-functional partners to deliver scalable analytics capabilities. The ideal candidate has 5+ years of leadership experience, deep analytics engineering expertise, and strong cloud proficiency (AWS).

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