Senior/Staff Data Engineer

Summary

Join StackAdapt, a leading programmatic advertising platform, as a Senior or Staff Data Engineer. We are building a new data engineering initiative to tackle a complex big data problem using cutting-edge technologies. You will work with a team of engineers to design and build scalable, low-latency backend systems and big data pipelines. This role requires experience with large data in low-latency environments, distributed systems, and data engineering tools. StackAdapt offers a remote-first work environment and a comprehensive benefits package, including competitive salary, RRSP/401K matching, generous paid time off, full benefits, and professional development opportunities. We are seeking experienced data engineers to help us design and build this from the ground up!

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!