At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.<h3>Who We Are</h3>We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.This role accelerates decision-making across Serve Robotics by transforming raw data into actionable insights. You will own the architecture, automation, and reliability of our analytics data pipelines while collaborating closely with cross-functional partners to make data a strategic asset for our autonomy, operations, and product teams.Responsibilities <ul style=""><li>Define the processes and ETL/ELT infrastructure to transform and make data readily available across the company</li><li>Build and manage core datasets as unique sources of truth for product, operations and business functions</li><li>Partner with data analysts and other internal stakeholders to design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size</li><li>Implement automated workflows that lower manual/operational cost for stakeholders</li><li>Contribute to Serve’s goal of data democratization and self-service analytics</li><li>Develop and enforce data quality monitoring systems focused on freshness, accuracy, and lineage tracking</li><li>Develop and maintain batch, real-time and near-real-time data pipelines supporting fleet performance and robot telemetry</li></ul>Qualifications<ul style=""><li>4+ years of experience as an Analytics or Data Engineer, ideally in product-focused or high-growth environments</li><li>1+ years experience and expertise in SQL: understand aggregation and window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries</li><li>Proficient in Python (bonus for experience with pandas, PySpark, Airflow, or similar frameworks)</li><li>Hands-on experience delivering scalable data solutions using modern data platforms (BigQuery, Snowflake, or Redshift)</li><li>Strong understanding of data modeling (star/snowflake schemas, data marts, dimensional modeling)</li><li>Experience building and monitoring CI/CD pipelines for data workflows</li><li>Excellent communication skills with the ability to build meaningful stakeholder relationships</li><li>Strong sense of ownership and ability to thrive in a fast-paced robotics and autonomy-driven environment</li><li>You are passionate about analytics use cases, data models and solving complex data problems</li><li>Excitement to learn about new fields, with the ability to be scrappy as needed</li></ul>What Makes You Stand Out <ul style=""><li>Experience with BI tools (Looker, Preset, ThoughtSpot) and modern data observability frameworks (Monte Carlo, Datadog, or similar)</li><li>Implementing and enforcing data access &amp; cost controls.</li><li>Experience working with dbt for transformation management</li><li>Familiarity with data governance, access control, and cost optimization strategies</li><li>Understanding of telemetry data from IoT or robotics systems</li></ul><h3>Please note: The base salary range listed in this job description reflects compensation for candidates based in the United States. We are also open to qualified candidates working remotely from Canada. Base salary range (Canada): CAD $130,000 – $160,000</h3>

Why deliver a 2-pound burrito in a 2-ton car? Serve is the future of sustainable, self-driving delivery. Our zero-emissions robots are designed to serve people in public spaces, starting with food delivery. We partner with platforms and merchants to help local businesses reach more customers.

Senior Analytics & Data Engineer

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.<h3>Who We Are</h3>We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.This role accelerates decision-making across Serve Robotics by transforming raw data into actionable insights. You will own the architecture, automation, and reliability of our analytics data pipelines while collaborating closely with cross-functional partners to make data a strategic asset for our autonomy, operations, and product teams.Responsibilities <ul><li>Define the processes and ETL/ELT infrastructure to transform and make data readily available across the company</li><li>Build and manage core datasets as unique sources of truth for product, operations and business functions</li><li>Partner with data analysts and other internal stakeholders to design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size</li><li>Implement automated workflows that lower manual/operational cost for stakeholders</li><li>Contribute to Serve’s goal of data democratization and self-service analytics</li><li>Develop and enforce data quality monitoring systems focused on freshness, accuracy, and lineage tracking</li><li>Develop and maintain batch, real-time and near-real-time data pipelines supporting fleet performance and robot telemetry</li></ul>Qualifications<ul><li>4+ years of experience as an Analytics or Data Engineer, ideally in product-focused or high-growth environments</li><li>1+ years experience and expertise in SQL: understand aggregation and window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries</li><li>Proficient in Python (bonus for experience with pandas, PySpark, Airflow, or similar frameworks)</li><li>Hands-on experience delivering scalable data solutions using modern data platforms (BigQuery, Snowflake, or Redshift)</li><li>Strong understanding of data modeling (star/snowflake schemas, data marts, dimensional modeling)</li><li>Experience building and monitoring CI/CD pipelines for data workflows</li><li>Excellent communication skills with the ability to build meaningful stakeholder relationships</li><li>Strong sense of ownership and ability to thrive in a fast-paced robotics and autonomy-driven environment</li><li>You are passionate about analytics use cases, data models and solving complex data problems</li><li>Excitement to learn about new fields, with the ability to be scrappy as needed</li></ul>What Makes You Stand Out <ul><li>Experience with BI tools (Looker, Preset, ThoughtSpot) and modern data observability frameworks (Monte Carlo, Datadog, or similar)</li><li>Implementing and enforcing data access &amp; cost controls.</li><li>Experience working with dbt for transformation management</li><li>Familiarity with data governance, access control, and cost optimization strategies</li><li>Understanding of telemetry data from IoT or robotics systems</li></ul><h3>Please note: The base salary range listed in this job description reflects compensation for candidates based in the United States. We are also open to qualified candidates working remotely from Canada. Base salary range (Canada): CAD $130,000 – $160,000</h3>

Senior Analytics & Data Engineer

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About the Company

Serve Robotics

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