Job Description
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.
Who you areAs a Senior Data Engineer at Metropolis you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines models and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models ensure privacy compliance and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines dashboards and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
- Bachelor's degree in Computer Science Computer Engineering or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering database engineering business intelligence data warehousing and ETL tools working with large data sets in the cloud
- 5+ years of experience with Python and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL ETL/ELT and data modeling with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL MS SQL Server (optional) and Postgres
- Familiarity with integration tools like Airflow and Automic along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality system reliability and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services preferably AWS including hands-on experience with services like Glue Airflow (MWAA) DMS EKS and SNS
- Experience with Spark and PySpark
- Master's degree in Computer Science Computer Engineering or a relevant technical field
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 $160000.00 USD to $220000.00 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
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process Metropolis retains data relevant to your candidacy including personal information for a period that is reasonably necessary for the use of the tool. If you are hired for the position your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit qualifications and business needs without regard to race color religion sex (including gender identity sexual orientation or pregnancy) national origin disability veteran status or any other protected characteristic under federal state or local law.
Skills Required
- Bachelor's degree in Computer Science or a technical field
- 5+ years experience in data engineering
- 5+ years experience with Python
- Proficiency in SQL and ETL/ELT
- Extensive experience with Snowflake
- Hands-on experience with RDBMS databases
What the Team is Saying






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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Metropolis Technologies Offices
OnSite Workspace
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.
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Date Posted
05/31/2026
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