Software Engineer, Stats & Analytics

StackAdapt•Vancouver, BC

10h•Remote

About The Position

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 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.

Requirements

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

Responsibilities

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

Benefits

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!