Senior Software Engineer, Stats & Analytics - Data Delivery
StackAdapt • Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Texas; Toronto; Vancouver; Washington Remote
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.
About the Data Delivery Team:
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.
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.
What you'll be doing:
- 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
We'll be reaching out to candidates that have:
- 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
StackAdapter's Enjoy:
- 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!
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:
2024 Best Workplaces for Women and in Canada by Great Place to Work®
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