Senior Data Engineer
Metropolis is an artificial intelligence company specializing in computer vision technology to create seamless, checkout-free experiences in the physical world. Currently, the company is transforming the parking industry, allowing millions of consumers to "drive in and drive out" effortlessly. As a Senior Data Engineer at Metropolis, you will be instrumental in developing both customer-facing and business-facing data products that align with this mission. Your technical expertise and analytical skills will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members.
In this role, you will collaborate with engineers, product managers, and data scientists to understand data needs and develop end-to-end data pipelines and solutions. You will design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs. Additionally, you will build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains. Ensuring data security, compliance, and quality will be key aspects of your responsibilities.
The ideal candidate will have a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, with a Master's degree preferred. You should possess over 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 is essential, along with extensive experience in Snowflake and dbt. Additionally, you should have over 5 years of experience with Python and building scalable Big Data solutions and ETL ecosystems. Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres, as well as familiarity with integration tools like Airflow and Automic, is also required. Strong proficiency in Terraform is a must-have.
Metropolis offers a dynamic work environment where you will join a team of world-class product leaders and engineers. The company is committed to building 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 the organization grows. The technology stack includes TypeScript, React, Scala, Java, MySQL, PostgreSQL, Snowflake, AWS, Git & GitHub, Copilot on GitHub, and Datadog.