Analytics Engineer

• Design and implement understandable data models that support flexible querying and data visualization
• Instrument algorithms and machine learning pipelines from complex business requirements
• Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing it
• Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value

This role helps Bird achieve its mission of making cities more livable by empowering people to move freely and create a cleaner, more connected future through data-driven insights that support sustainable urban mobility solutions.

• Bachelor's degree in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution
• 2-3+ years of relevant experience in data engineering
• Expertise in writing SQL and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
• Experience with big-data technologies (e.g. Spark, Kafka, Hive)

• Plenty of time off to relax and recharge, plus a wellness resource to help you wind down
• A work-from-home stipend
• An employer-paid healthcare package
• Bird ride credits to get you where you need to be

Bird is a global leader in micromobility dedicated to transforming urban movement through cleaner, affordable, and on-demand mobility solutions available in over 200 cities worldwide, with a focus on creating more livable cities and reducing carbon emissions.