Citylitics Inc.

Data Engineer

• Lead development of performant, reliable, and maintainable data pipelines using Airflow and BigQuery
• Own pipeline architecture, design, testing, deployment, monitoring, and maintenance
• Make independent design decisions and operate the systems built
• Partner with data analysts and stakeholders to define requirements and design scalable data models and applications
• Own data products end to end, including pipelines, models, backend APIs, customer-facing dashboards, and applications
• Design and operate AI and agentic workflows that transform raw documents into structured data
• Develop prompts and context, tool/function calling, embeddings and retrieval, and structured outputs
• Manage production concerns including retries, idempotency, cost, and latency
• Own evaluation datasets, LLM-as-judge and rule-based QA checks, and benchmarks
• Use evaluation results to guide decisions about models, prompts, and architecture
• Continuously improve data infrastructure and processes
• Evaluate and introduce new technologies and best practices
• Help shape the use of AI coding agents for development, debugging, review, and documentation
• Perform other duties as assigned

• Design, build, and maintain highly performant, reliable, and maintainable pipelines using Airflow and BigQuery
• Handle pipeline design, development, testing, deployment, monitoring, and maintenance
• Collaborate with data analysts and stakeholders to define data requirements
• Design efficient data models within BigQuery
• Optimize queries and pipeline/dashboard performance
• Serve as the dedicated data engineering resource for Custom Solutions work
• Partner with Data, Product, and Customer Success teams to take bespoke client requests from validated proof-of-concept through production
• Translate client requirements into technical solutions
• Communicate technical details and project progress to stakeholders
• Contribute to improvements in data infrastructure and processes
• Suggest and implement new technologies and best practices
• Leverage AI tools to accelerate development, debugging, design, and documentation
• Other duties as assigned

Data Engineer

Junior Data Engineer