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Senior Analytics Engineer

3 Days in Office: Metropolis values in-person collaboration to drive innovation,💼 Full-time🗓 2026-07-25

Core

Designing and maintaining large-scale data warehouses and marts to make data accessible and actionable for informed decision-making across the company.

Role type

Senior Analytics Engineer

Builds

Data warehouses, data marts, and transformation pipelines

Domain

Parking, mobility, and real estate

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Python, SQL, dbt, Snowflake, query optimization, ELT processes, test-driven development, data modeling

Preferred skills

dbt certification, experience leveraging AI tools for workflow automation

Technologies

Snowflake, dbt

Responsibilities

Design, implement, and monitor large-scale data warehouses and data marts; optimize SQL queries and database performance; build data transformation pipelines; mentor stakeholders on data best practices; partner with engineering, data scientists, and PMs to drive data impact.

Seniority

Senior, hands-on IC

Rewrite
## About the role Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture. ## What we're looking for - 5+ years experience with data/analytics engineering - 5+ years of experience with Python and SQL (preferably Snowflake) - 3+ years of experience with dbt (dbt certification a plus) - Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders - Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices - Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights - An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization - Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling) - Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow - Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis - Skill in using tools like dbt to build data transformation pipelines - Experience leveraging AI tools to transform static workflows into responsive, high-output processes ## What we offer 3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection. ## About the company When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. ## Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
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