Lead Engineer, Stats and Analytics, Data Externalization

StackAdapt Logo

StackAdapt

πŸ“Remote - United States

Summary

Join StackAdapt, a leading programmatic advertising platform, as a Lead Engineer to lead our growing backend engineering team. You will architect scalable, low-latency backend systems and data pipelines, mentor a team of engineers, and promote best practices. Our real-time bidding system handles millions of requests per second and stores terabytes of data daily. We utilize technologies like Go, Ruby on Rails, and various databases. This is a remote-first position open to North American candidates. StackAdapt offers a competitive salary, comprehensive benefits, and opportunities for professional development.

Requirements

  • Extensive experience with big data processing, ideally at the scale of terabytes or more
  • Strong technical leadership skills with a proven ability to define and drive long-term engineering strategies
  • Hybrid expertise in data engineering and software development – not just someone who runs queries, but someone who has built scalable data systems and engineering solutions
  • Track record of building and scaling robust data pipelines and systems in production environments
  • An ability to think strategically, lead technically, and inspire the team toward delivering high-impact, scalable solutions

Responsibilities

  • Architect scalable low-latency backend systems and data pipelines
  • Write code as needed to support the team
  • Lead and mentor a team of talented engineers within the backend distributed systems team
  • Make a positive impact on the team's productivity and growth
  • Promote software development best-practices and conduct rigorous code reviews
  • Rigorously identify and solve technical challenges
  • Conduct interviews to attract and identify potential high performing candidates
  • Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved

Preferred Qualifications

  • Hands-on experience with data warehouse technologies is highly desirable
  • Familiarity with tools like Trino/Presto, Snowflake, and other modern data warehouse platforms

Benefits

  • Highly competitive salary
  • RRSP/401K matching
  • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
  • Access to a comprehensive mental health care platform
  • Full benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership for those who want a change from their home office
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave policy
  • A friendly, welcoming, and supportive culture
  • Our social and team events!

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.

Similar Remote Jobs