Who you are

• Strong Python skills and experience
• Experience developing and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems
• Experience building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
• Data warehousing experience at Petabyte scale
• Understanding of performance, capacity, cost trade-offs in data processing systems
• Snowflake experience especially valuable
• Experience diagnosing, mitigating, and permanently 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

What the job involves

• 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 Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance
• 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 teams focus on the following areas and capabilities:
• Cost-efficient storage for batch and streaming across multiple compute engines
• Optimized compute environments and workflow orchestration
• ETL (extract, transform, load) and ELT (extract, load, transform) pipelines
• Data ingestion and warehousing
• Monitoring, alerting, and cost tracking for workloads
• Automation of analytics functions
• Data security, privacy, and governance
• The teams also own relationships with select infrastructure vendors
• We’re looking for: An experienced 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
• Plan and execute on technology projects that scale with our growth; contribute to our architecture with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals
• Provide technical guidance and mentorship on difficult open-ended problems

Benefits

• Comprehensive healthcare
• All of our offices have been designed with local in mind—from our architects to our coffee blends
• Paid vacation time, holidays, and company-wide “Faire Fundays.”
• Including a monthly credit toward your wellness-related programs
• Generous parental and family leave, as well as fertility support benefits
• Including free access to Modern Health therapists and resources
• Optional morning meditation, plus a free Headspace membership
• Faire will match up to US$250 of your charitable donations, every year
• For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning
• Whether you want to grow as a leader, hone your craft, or explore a new discipline, our career framework allows space for you to explore