Stackadapt7d ago

Senior Software Engineer, Stats & Analytics - Data Delivery

Vancouver · Toronto · Ontario · British Columbia · Alberta · Canada - Calgary · Texassenior

EngineeringData ScienceBackend Engineering

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Quick Summary

Key Responsibilities

Leading projects by partnering with product and engineering teams across

Technical Tools

EngineeringData ScienceBackend Engineering

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

The Data Delivery team is part of the Stats & Analytics Core Services team within the backend engineering organization. We build scalable and reliable data systems that power reporting, billing, pacing, and analytics across the platform using a modern stack including Golang, Kafka, TiDB, and more.

Data Delivery focuses on turning foundational data into trusted, customer-facing data products. Working closely with product managers and the Web Platform team, the team builds data pipelines and APIs that make data accessible, reliable, and actionable for both internal teams and advertisers.

If you enjoy building customer-facing data systems and partnering closely with product teams, this role is for you.

StackAdapt is a Remote First company, we are open to candidates located anywhere in the United States or Canada for this position.

Responsibilities

~1 min read

→Leading projects by partnering with product and engineering teams across requirements, design, implementation, and delivery
→Building highly scalable, distributed real-time micro-services to power dashboards, reporting, and analytics
→Designing and developing ETL pipelines that enrich data and generate business-oriented insights
→Working with large data sets in TiDB, Redshift, Vitess, with future opportunities working with Iceberg, StarRocks, and Trino
→Optimizing data models, pipelines, and queries for performance and efficiency

5+ years of experience as a backend software engineer
Interest in working with product teams to refine requirements and deliver features
Experience building scalable micro-services and distributed systems
Strong problem solving skills in data structures, algorithms, and optimization
Hands-on experience working with relational databases and/or key-value stores
Bonus: Experience interpreting and working with data

Highly competitive salary
Retirement/ 401K/ Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
Health benefits from day one of employment
Work from home reimbursements
Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, books etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

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.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

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:

G2 Top Software for 2026
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

To learn more about our privacy practices, please see our Privacy Policy.

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