Join StackAdapt's growing backend engineering team as a Senior Data Engineer and help build a new data engineering initiative to solve a hard and complex big data problem, leveraging new technologies. You will build first and third-party data integrations with external data sources and architect scalable low-latency backend systems and big data pipelines. You will also promote software development best-practices and conduct code reviews.

Lead a team in designing, developing, and deploying data and machine learning solutions at BenchSci. You'll need deep technical experience with event-driven data pipelines and online inference. Mentor your team, contribute code, and ensure successful delivery of business objectives in this adaptable, remote-first culture.

As a Data Analyst, you’ll work with key product stakeholder groups to help them leverage data to track product feature performance, make better decisions and ultimately reach their goals. You will work with complex data sets to answer questions and uncover new insights on product features, build custom reports, and complete analyses, presenting clear recommendations to business stakeholders.

You will work with the Associate Director of Strategy Analytics to evaluate and influence our global Freemium strategy. You'll play a crucial role in the growth and direction of Spotify as we grow to 600M+ users around the globe and monetize the product at scale. Above all, your work will impact the way the world experiences music, podcasts, and audiobooks!

Help lead the growing backend engineering team. Architect scalable low-latency backend systems and data pipelines. Lead and mentor a team of talented engineers within the backend distributed systems team. Promote software development best-practices and conduct rigorous code reviews. Rigorously identify and solve technical challenges.

Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.

Lead a small but high-impact team of data scientists, collaborating with Product, Marketing, and Sales to understand our clients and develop data-driven systems that enhance their experience. Design and execute experiments to uncover client preferences and inform product strategy.

Seeking an experienced and motivated senior-level Data Engineer to join one of our teams responsible for a key product within the organization, you will have a great say in how solutions are engineered and delivered. We’re growing quickly and looking to hire data engineers for multiple teams.

The Clinical Data Analyst role supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities. This role facilitates the development of advanced analytical solutions, which better supports internal and external stakeholders needs in summarizing clinical study data.

As a Senior Software Engineer on the Data Platform team, you will play a huge role in Wealthsimple's Data Warehouse transition onto Snowflake and maintain technical excellence across our current tools and systems. You’ll collaborate with different partners within Wealthsimple, regularly solving technical challenges, and empowering those teams to evolve their systems. As the role evolves, you’ll take on further projects to hit our ambitious goals.