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Staff Engineer – Data Export & Data Warehouse

StackAdapt

Canada

Remote

CAD 100,000 - 140,000

Full time

2 days ago
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Job summary

A leading company in digital advertising is seeking a Staff Engineer to lead their backend engineering team. This role involves architecting scalable systems and mentoring engineers while working with cutting-edge technologies like Go and Ruby on Rails. The company offers a remote-first culture and a range of competitive benefits, including a highly competitive salary and comprehensive mental health care.

Benefits

Highly competitive salary
RRSP/401K matching
3 weeks vacation + personal care days
Access to mental health care platform
Full benefits from day one
Work from home reimbursements
Optional global WeWork membership
Robust training and onboarding program
Support for personal development initiatives
Awesome parental leave policy

Qualifications

  • Extensive experience with big data processing at terabyte scale.
  • Hybrid expertise in data engineering and software development.
  • Hands-on experience with data warehouse technologies.

Responsibilities

  • Architect scalable low-latency backend systems and data pipelines.
  • Lead and mentor a team of talented engineers.
  • Conduct interviews to attract high-performing candidates.

Skills

Technical Leadership
Big Data Processing
Data Engineering
Software Development
Strategic Thinking

Tools

Trino/Presto
Snowflake

Job description

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game ads and digital out-of-home ads. We empowerthousandsof digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.

StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience.

Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America.

We're seeking a Staff Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day.Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies.

Watch our talk at Amazon Tech Talks:https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position.


What you'll be doing:
  • 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
We'll be reaching out to applicants that have:
  • 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.
  • Hands-on experience with data warehouse technologies is highly desirable.
  • Bonus: Familiarity with tools like Trino/Presto, Snowflake, and other modern data warehouse platforms.
  • 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.
StackAdapters enjoy:
  • 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!

#LI-TM8

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

Ad Age Best Places to Work 2024

G2 Top Software and Top Marketing and Advertising Product for 2024

Campaign’s Best Places to Work 2023 for the UK

2024 Best Workplaces for Womenandin Canadaby Great Place to Work

#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

#LI-Remote

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