Senior Data Engineer, Metropolis
Machine Learning
$140-165k
Autonomous commerce platform for urban mobility
Job no longer available
Autonomous commerce platform for urban mobility
21-100 employees
Job no longer available
$140-165k
21-100 employees
Company mission
To disrupt traditional city infrastructure to empower the future of urban mobility.
Role
Who you are
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
- Minimum of 5 years of experience in a Data Engineering role, with at least 2 years focused on ML data engineering
- Proven experience in designing and implementing large-scale data pipelines and architectures
- Strong programming skills in Python or Scala and proficiency with SQL
- Experience building batch and streaming ingestion data pipelines for structured and unstructured data (text, images)
- Experience with data warehousing solutions (Snowflake, Databricks), feature stores, ETL tools (Airflow, Mage AI, DBT etc), and data modeling practices
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure, Google Cloud Platform)
- Excellent problem-solving, analytical, and communication skills
What the job involves
- Metropolis is seeking a Senior Machine Learning Data Engineer to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
- You will be a thoughtful hands-on leader who operates based on principles and establishes best practices.
- While you are expected to be adept at making technical decisions, your responsibility is beyond just implementation – you will be influencing strategic decisions, mentoring engineers around you, and elevating the team through examples
- Design, build, and maintain robust, scalable data pipelines that support ML model development and deployment
- Ensure efficient data storage, retrieval, and management practices that support real-time and batch processing needs
- Work closely with ML engineers and data scientists to understand their data requirements and implement solutions that enable effective ML model training and evaluation
- Develop and enforce policies for data quality, security, and compliance, ensuring integrity
- Monitor and optimize the performance of data pipelines and key metrics to ensure efficient operation in production environments
- Stay ahead of emerging technologies and methodologies in data engineering and machine learning
- Mentor junior team members and elevate the team through knowledge sharing
Our take
Driven by computer vision and AI technology, Metropolis offers a seamless parking and checkout experience by turning cars into wallets. This eliminates the need for physical tickets and pay machines, allowing property owners to maximise the financial performance of their parking assets and offer a modern service to customers.
Metropolis aims to revolutionise parking by integrating future mobility solutions, such as autonomous vehicle deployment, charging stations, and eVTOL infrastructure. Its approach includes dynamic pricing to optimise revenue during demand surges.
Co-founded by Alex Israel, a former ParkMe founder, the company has expanded rapidly following several staggering fundraising rounds and partnerships with Premier Parking and Uber. The company's acquisition of SP Plus Corporation, funded by a $1.8 billion investment, positions it as a leader in AI-driven mobility solutions. As a pioneer in its category, Metropolis continues to push the boundaries of parking and mobility technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2025
$500m
SERIES D
Oct 2023
$1.1bn
SERIES C
Total funding: $1.8bn
Company benefits
- Equity options - We offer ownership opportunities through stock options
- Wellness benefits - A wellness program designed to support a variety of needs
- Health insurance - We subsidise high-quality health insurance coverage for full-time and hourly employees
- We subsidize high-quality health insurance coverage for full-time and hourly employees
- 401(k) match - Plan for your future with a 4% company match
- Parental leave - Receive support prior to, during leave, and as you transition back to work
- Time off - Unlimited PTO for salaried employees, and a generous PTO package for our hourly employees
- Paid holidays - We observe major holidays with company-wide closures, and double hourly rates for those who work
- Hybrid environment - Magic happens face to face, but we support a flexible working model
Company HQ
Downtown, Santa Monica, CA
Leadership
Alexander Israel
(Co-Founder & CEO)Former Vice President & General Manager at INRIX. Co-founder and former COO at ParkMe. BA in Business & Economics at University of Puget Sound.
Travis Kell
(Co-Founder & Chief Strategy Officer)Former Senior Vice President at Winton Group. Previously Director of Hedge Fund Solutions at BlackRock. BA in Business at University of Puget Sound.
Courtney Fukuda
(Co-Founder & Chief Integration Officer)Formerly hedge fund solutions group at BlackRock. Managed senior relationships with sovereign wealth fund, central banks and other major institutional investors. BA in Economics at Yale University.
Peter Fisher
(Co-Founder & CCO)Formerly growth equity Investor at Transamerica Investment Management, BA in Political Science at Boston College.
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