Senior/Staff Data Engineer

Summary

Join StackAdapt, a leading programmatic advertising platform, as a Senior or Staff Data Engineer. You will be part of a team building a new data engineering initiative to solve complex big data problems. This role involves designing and building scalable, low-latency backend systems and big data pipelines using technologies like Go, Ruby on Rails, and various databases. You will collaborate with engineers, provide technical guidance, and promote best practices. StackAdapt offers a remote-first work environment and a comprehensive benefits package. We are seeking experienced data engineers with a proven track record in building scalable data pipelines and working with large datasets in low-latency environments.

Requirements

• Proven track record of building scalable data pipelines and services
• Experience with working with large data in low-latency environments
• Software development experience in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company
• A strong understanding of computer science fundamentals, data structures, and algorithms
• Up to date knowledge and experience in the latest technologies, tools, and frameworks
• Experience with data engineering tools and frameworks (Spark, Flink, Apache Beam, BigQuery, Redshift, dbt, etc)

Responsibilities

• Work with a team of engineers to build first-party and third-party data integration with external data sources
• Build and architect scalable low-latency backend systems and big data pipelines
• Provide technical guidance in designing scalable solutions and best practices
• 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
• Write performance efficient and memory optimized code that can scale with the volume of data that we ingest

Preferred Qualifications

• Adtech experience or Martech experience is an asset
• Experience with Go and high performance databases is a plus

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!