Senior Analytics Engineer

The real world is the next frontier and at Metropolis we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access comfort and belonging everywhere you go. From transforming parking into a seamless drive-in drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality we are building a world that feels instinctive and magical. The future isn’t coming; it’s here and we need builders innovators and problem solvers to help us create it.

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.

• Design and implement large-scale data warehouses and data marts using Snowflake Star or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs including troubleshooting task failures and improving run times
• Implement metadata management data lineage and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering data science and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design implementation and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL window functions and query optimization for complex data manipulations
• Applied performance best practices including partitions sort keys and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science Analytics PM and Engineering on data best practices

• A dbt certification

4 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.

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. The anticipated base salary for this position is $130000.00 USD to $175000.00 USD annually. The actual base salary offered is determined by a number of variables including as appropriate the applicant's qualifications for the position years of relevant experience distinctive skills level of education attained certifications or other professional licenses held and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package which may also include access to or eligibility for healthcare benefits a 401(k) plan short-term and long-term disability coverage basic life insurance a lucrative stock option plan bonus plans and more. #LI-CM1 #LI-Onsite

What We Do

Metropolis Technologies Inc. is an artificial intelligence company whose computer vision platform enables checkout-free payment experiences for the real world. Its proprietary AI-driven technology reaches more than 50 million customers while reducing costs increasing transparency and capturing additional revenue for real estate partners. Following its take-private acquisition of SP+ Metropolis is now the largest parking network in North America with more than 4000 locations. To learn more about Metropolis please visit www.metropolis.io.

Why Work With Us

We’re not your typical technology company. We’re world-class software and hardware engineers we’re neighborhood urbanists and operators we’re caring customer support specialists we’re nerdy data scientists and machine learning engineers we’re designers and architects… and many things in-between and beyond.

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