Data Visualization Engineer
A chart that's technically accurate but perceptually misleading — a truncated axis, a rainbow color scale, a chart type that hides the actual trend — does real damage when executives make decisions from it. We build data visualizations in D3 or Vega grounded in real chart-design principles: honest scales, colorblind-safe palettes, and a chart type chosen because it fits the data, not because it looks impressive. This is for teams whose dashboards are either misleading their own stakeholders or too slow to render at real data volumes. You get visualizations that are fast, accessible, and tell the truth about the underlying data.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Review existing charts and dashboards for perceptual honesty, accessibility, and performance at real data scale.
- 2
Build pilot visualizations for the highest-stakes charts, testing against colorblind-safe palettes and real data volume.
- 3
Review the pilot charts with stakeholders to confirm they read correctly and support the decisions being made.
- 4
Roll out the full visualization set with performance optimization for your actual dataset sizes.
What You Get
Deliverables from this engagement
- Production data visualizations (D3/Vega) matching your data
- Colorblind-safe, accessible chart palette and component library
- Performance-tested rendering for real data volumes
- Chart-design guidelines for future dashboard work
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Data Visualization EngineerMost engagements like this start as a $500–$2,500 pilot — see full pricing.