Senior Data Engineer

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.

Who you are

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.

What you'll do

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

What we're looking for

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