Teams at Citylitics

Build and maintain production data pipelines using Airflow and BigQuery; design data models, optimize warehouse queries, monitor reliability, and deliver custom data solutions. Collaborate with analysts, product, customer success, and stakeholders to translate requirements into production systems. Improve data infrastructure and workflows while using AI tools to accelerate development, debugging, design, and documentation.

Owns custom data solutions by triaging client requests, assessing feasibility, querying and validating data in BigQuery, and building one-off dashboards or reports. Partners with Sales, Customer Success, Product, leadership, clients, and Engineering to scope work, communicate data limitations, present findings, define requirements, and hand off validated solutions for technical implementation.

Build and maintain a full-stack Django and React application while modernizing legacy code, reducing technical debt, upgrading frameworks, and decomposing oversized modules. Design and deliver customer-specific solutions end to end, validate decisions using SQL and metrics, and contribute to cloud deployment, access management, CI/CD, monitoring, and database architecture. The role also involves technical writing, demos, stakeholder alignment, and AI-assisted development.