Senior Analytics Engineer

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. This role is pivotal in making data accessible and actionable, facilitating informed decision-making throughout the company. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering.

Key responsibilities include designing and implementing large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas. The role also involves building and maintaining data transformation pipelines using SQL frameworks like dbt, writing complex SQL queries, managing and optimizing DAGs, and implementing metadata management, data lineage, and security principles.

The position requires over 5 years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake, and at least 3 years of experience with dbt. Candidates should have a proven track record of leading large-scale data projects, expertise in SQL and query optimization, and experience mentoring stakeholders in Data Science, Analytics, Product Management, and Engineering on data best practices.

Metropolis offers a competitive base salary ranging from $130,000 to $175,000 annually, determined by various factors including qualifications, experience, and location. The total compensation package may also include healthcare benefits, a 401(k) plan, disability coverage, life insurance, stock options, and bonus plans.

The company values in-person collaboration to drive innovation and strengthen culture. Corporate team members are expected to be on-site at least four days a week, fostering organic interactions that spark creativity and connection. Metropolis is committed to building an inclusive culture where everyone has a voice and the best idea wins.