Software Engineer, Stats & Analytics
StackAdaptCanada20 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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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 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 sub teams: Data Ingestion, Data Platform and Data Delivery.
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
About The Data Ingestion Team
This team builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. We work on large-scale distributed systems focused on scalability, performance, reliability, and data correctness, processing 10+ billion events per day. Our systems power core functions across bidding, reporting, billing, analytics, and machine learning. We design and run low-latency, highly reliable ingestion systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available for downstream teams in real time.
About The Data Platform Team
This team is responsible for building and operating the infrastructure that powers data at scale across StackAdapt. Our systems process terabytes of data daily, serving both real-time and batch use cases. The data platform ensures that data is fresh, accurate, and cost-efficient so that analytics, machine learning, and product teams can rely on trustworthy, governed datasets.
About The Data Delivery Team
This team is responsible for transforming foundational data into customer-facing insights and products. Data Delivery builds the pipelines, services, and APIs that power reporting, billing, pacing, and analytics experiences across the platform. Working closely with Product and Web teams, they ensure data is accurate, accessible, and actionable for both internal stakeholders and advertisers.
What You'll Be Doing
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:
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 Women 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.
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 sub teams: Data Ingestion, Data Platform and Data Delivery.
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
About The Data Ingestion Team
This team builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. We work on large-scale distributed systems focused on scalability, performance, reliability, and data correctness, processing 10+ billion events per day. Our systems power core functions across bidding, reporting, billing, analytics, and machine learning. We design and run low-latency, highly reliable ingestion systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available for downstream teams in real time.
About The Data Platform Team
This team is responsible for building and operating the infrastructure that powers data at scale across StackAdapt. Our systems process terabytes of data daily, serving both real-time and batch use cases. The data platform ensures that data is fresh, accurate, and cost-efficient so that analytics, machine learning, and product teams can rely on trustworthy, governed datasets.
About The Data Delivery Team
This team is responsible for transforming foundational data into customer-facing insights and products. Data Delivery builds the pipelines, services, and APIs that power reporting, billing, pacing, and analytics experiences across the platform. Working closely with Product and Web teams, they ensure data is accurate, accessible, and actionable for both internal stakeholders and advertisers.
What You'll Be Doing
- Building highly scalable, distributed real-time micro-services primarily written in Go
- Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
- Working with data lakehouse technologies like Apache Iceberg, Apache Trino, and real-time analytics technologies like StarRocks and Clickhouse
- Build software that utilize messaging queues such as Kafka, SQS, and Kinesis
- Write performance efficient and memory optimized code
- 2+ years of experience as a Backend Software Engineer.
- Very strong problem solving skills in data structures, algorithms, and optimization
- Experience working with relational databases and/or key-value stores
- Experience building scalable micro-services and distributed systems
- 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!
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:
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 Women 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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