Software Engineer, Stats & Analytics

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 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.

• 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