Metropolis Technologies
From Metropolis Technologies's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing 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.
Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
Ensure flexibility with availability during evening hours
Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a 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
Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
Hands-on experience with RDBMS such as MySQL, MS SQL Server, 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
Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
Strong proficiency in Terraform is a must-have.
Our Stack
Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
Datastores: MySQL, PostgreSQL, Snowflake
Cloud: AWS
Version control: Git & GitHub
AI Tooling: Copilot on GitHub
Observability: Datadog
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. #LI-SR1 #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, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.
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