Sr. Visualization Engineer ($152,900.00 - $182,400.00)

Position Summary:

The Senior Visualization Engineer designs and builds interactive data applications and visualizations that empower business users to explore portfolio, occupancy, and financial metrics. This role translates complex data into clear, actionable insights for leasing, asset management, and finance teams. By leveraging the company's data platform and natural-language query capabilities, the Senior Visualization Engineer drives the transition toward programmatic, automated visualization generation, delivering trustworthy, self-serve tools across the organization.

Key Responsibilities:

• Design, build, and maintain interactive data applications and visualizations in code using Python and tools such as Streamlit, enabling business users to explore and act on the company's data.
• Develop reusable, programmatic visualization components and templates, such as charts, metric views, and dashboards, instead of one-off static reports.
• Lead and advance team visual data generation practices by adopting emerging methods and AI-assisted workflows.
• Build data applications on top of the company's data platform (Snowflake) and its natural-language query capabilities, writing the queries and transformations needed to feed visualizations with accurate and performant data.
• Partner with analysts, business stakeholders, and the reporting team to understand business questions and build self-serve tools that answer them, and drive adoption of those tools across departments.
• Ensure end-to-end quality, performance, security, and reliability of data applications by enforcing robust access controls and maintaining compliance standards for sensitive data handling.
• Set standards for visualization and data-application engineering, including readability, testing, and documentation, and mentor less experienced engineers.

Additional Skills:

• Expert in building interactive data apps and visualizations using Streamlit.
• Skilled in programmatic tools like Plotly, Altair, and Bokeh.
• Strong SQL expertise with Snowflake, pandas, and Polars.
• Proficient in deploying internal data apps, CI/CD, testing, and access control.
• Experienced with AI-assisted analytics tools like Snowflake Cortex.
• Highly skilled at leveraging tools like Claude Code, Cursor, or GitHub Copilot.
• Strong verbal and written communication  

Preferred Education:

• Bachelor's Degree (or equivalent experience)

Preferred Years of Relevant Work Experience:

• 5+ years