Who are we?

Bloomberg’s Engineering department builds the high performance systems that connect the world’s financial professionals with accurate data, powerful analytics, and intuitive visualizations. Within this environment, the Geospatial Workflows team makes location intelligence first‑class in the Bloomberg Terminal, the most widely used desktop in global finance.

Our engineers design the mapping platform that lets portfolio managers spot climate risk, strategists overlay satellite imagery on commodity flows, and journalists track geopolitics on live, interactive maps. We work at the intersection of big‑data back‑ends, high‑performance rendering pipelines, and elegant user interfaces—turning billions of geotagged data points into insights the investment analysts use to shape research and portfolio strategy before the market moves. You’ll join a collaborative, product‑driven culture that values technical rigor, continuous learning, and the social impact that Bloomberg’s profits fund through the company’s unique philanthropic model.

What do we build?

• Map Portal on the Bloomberg Terminal – a gateway for exploring securities, economic indicators, weather events, and alternative data directly on a globe.

• Embeddable Map Components – plug‑and‑play widgets that bring geospatial context to other flagship analytics.

• Visualization Back-End – scalable vector tile generation, on-the-fly raster processing, plus geocoding and location-autocomplete services exposed through high-throughput APIs.

• Self‑Service Data Tools – drag‑and‑drop uploads, schema detection, data enrichment, and versioning so clients can enhance the platform with their own layers.

• Cutting‑Edge Visualization – timeline sliders, progressive detail rendering, and collaborative annotation that feel as smooth as consumer‑grade web mapping, even with terabytes of tick data underneath.
  
  

Some projects on our roadmap:

• Enhanced Raster Analytics – interactive filters, area aggregation, and vector‑raster joins to unlock physical‑risk and ESG workflows.

• High‑Volume Rendering & Deeper History – GeoParquet prototypes, Postgres optimizations, and optimized tile caching to browse years of data without latency.

• Modern Visual Overhaul – rich graphics, animations, snappy pan/zoom, and brand‑new annotation tools.

• Security‑List Integration – link geographic selections to bond and equity lists for exposure analytics.

• AI‑Assisted Workflows – natural‑language layer search and automated, context‑aware map styling recommendations.
  
  

What you’ll do:

• Architect and deliver robust full‑stack solutions that make complex spatial analytics intuitive for thousands of power users

• Optimize data rendering pipelines and visualization engines for very large, real‑time data sets

• Partner with design, product, and multiple engineering groups to ship features end‑to‑end

• Set technical direction, mentor teammates, and foster an inclusive, growth‑minded culture
  
  

You’ll need to have:

• 4+ years of professional software development experience in TypeScript, JavaScript or Python

• A degree in Computer Science, Engineering or similar field of study, or equivalent work experience

• Knowledge of GIS concepts—coordinate systems, spatial indexing, raster vs. vector data, etc

• Strong foundations in data structures, algorithms, and service‑oriented design

• Clear, empathetic communication and a habit of writing design docs and tests

• A passion for solving hard problems at scale and continuously learning new technologies
  
  

We’d love to see:

• Experience with modern web mapping libraries (e.g., OpenLayers, MapLibre, Deck.gl) or high‑performance graphics engines

• Passion for visual design and focus on user experience

• Good understanding of geography and geometry

• Background in data‑intensive or real‑time systems

• Professional software development experience in C++