Data Engineer - Analytics Platform

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights. The team focuses on the following areas and capabilities: Data warehousing, including cost-efficient storage and compute ETL (extract, transform, load) and ELT (extract, load, transform) pipelines Evolution of foundational datasets with company-wide utilization BI (business intelligence) tooling and integrations Productivity acceleration tooling for analytics use-cases, including AI/LLM powered tools Automation of analytics functions Monitoring, alerting, and cost tracking for workloads Data security, privacy, and governance The team also owns relationships with select infrastructure vendors. We’re looking for: An engineer with data and analytics experience to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization. What you’ll do: Plan and execute on technology projects that scale with our growth; contribute to our technology foundations with a focus on data integrity, security, performance, scale, reliability, operational excellence. Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals. Provide technical expertise on difficult open-ended problems. Qualifications: Strong Python and SQL skills Experience developing and operating ETL/ELT, storage, compute, workflow systems Exposure to building and operating reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows Understanding of data warehousing basics, especially Snowflake, is highly valuable Understanding of performance, capacity, cost trade-offs in data processing systems. Experience diagnosing, mitigating, and addressing data system production issues at scale Strong communication skills A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin Salary range: Canada: the pay range for this role is $129,500 - $ 178,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. H