Staff Software Engineer & Stats & Analytics - Data Delivery

StackAdapt; Remote; CAD 90,000 - 130,000; Full time

Job summary

A leading marketing technology firm is seeking a Staff/Senior Software Engineer for their Stats & Analytics team. You will be responsible for leading projects, building highly scalable distributed systems, and developing real-time APIs. The ideal candidate should have 5+ years of backend software engineering experience, familiarity with databases like TiDB and Redshift, and strong problem-solving skills. Competitive salary and comprehensive benefits are offered, with the option to work remotely across Canada or the US.

Benefits

Highly competitive salary

Retirement/401K/Pension savings

Competitive paid time off packages

Health benefits from day one

Work-from-home reimbursements

Robust training and onboarding program

Qualifications

• 5+ years of experience as a backend software engineer.
• Interest in collaborating with product teams.
• Hands-on experience with relational databases.

Responsibilities

• Lead projects partnering with product and engineering teams.
• Build scalable real-time micro-services primarily in Go.
• Develop APIs for dashboards that require low latency.

Skills

Backend software engineering

Scalable micro-services development

Data structures and algorithms

Problem-solving

Tools

Golang

TiDB

Redshift

Elasticsearch

Job description

Staff/Senior Software Engineer, Stats & Analytics - Data Delivery

Canada; United States

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.

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

About the Stats & Analytics Team

The Stats and Analytics team at StackAdapt solves complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high‑performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real‑time streaming, Elasticsearch for analytics, and HDFS for distributed storage.

The Stats & Analytics team is structured into three subteams:

• Data Internalization: Ingests diverse data such as engagement events (impressions, clicks) and conversion data (purchases, website visits)
• Data Delivery: Powers downstream services such as reporting, billing, bidding, and analytics
• Data Externalization: Makes data accessible for offline use, supporting data warehousing, client reporting, and custom dashboards

About the Data Delivery Team

The Data Delivery sub‑team works closely with product managers and the web platform teams to deliver reporting and analytics features that directly serve our clients. Data Delivery is responsible for:

• Designing and maintaining reporting databases that power near‑real‑time dashboards and reports
• Building the data pipelines that process data for fast retrieval
• Developing APIs that deliver reporting data with low latency and high reliability

In addition to product‑driven projects, the team has several initiatives to rearchitect our data pipelines, improve data freshness, and optimize query performance. Our engineers frequently collaborate across teams to design solutions that balance business needs with technical scalability.

If you enjoy building customer‑facing data systems and partnering with the product team to shape solutions, this role is for you.

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 primarily written in Go
• Working with large data sets in TiDB, Redshift, Vitess, and Elasticsearch with future opportunities working with ClickHouse, Pinot, and Iceberg
• Developing latency‑sensitive APIs for dashboards and reporting
• Optimizing pipelines, queries, and data models 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

StackAdapt’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.