Mobile Data Visualization Engineer – Interactive Technical Charts

This is a fully remote position, open to applicants in India.

📋 Description

• Transform Large Datasets into Manageable Sizes: Implement level-of-detail downsampling, viewport culling, sub-pixel zoom/pan, and time-aligned overlays at interactive frame rates on tablets.

• Render the PQ Vocabulary: Create oscillographic waveforms with cycle markers, RMS-vs-time strip charts, harmonic spectrum bars up to the 50th order, phasor diagrams, harmonic heatmaps, CBEMA/ITIC tolerance curves, scatter/PDF plots, and event timelines.

• Design Analysis-Grade Interactions: Ensure smooth pinch/scroll on touch, trackpad, and mouse-wheel; include crosshair with multi-series readout; implement brush-to-zoom; synchronize cursors across stacked charts; and enable drill-down on event markers.

• Achieve Visual Precision: Develop color palettes that perform well on both screen and print, maintain accessible contrast, and consider type and tick spacing in line with expert reading habits.

• Conduct Relentless Profiling: Engage in performance benchmarking and profiling to enhance user experience and optimize metrics footprint.

• Deliver Usable v1, Then Iterate: Produce the first version of a new chart within a week, refining it with team input and real users in an open environment.

• Manage the Chart Engine: Participate in on-call rotation for rendering and performance regressions, establishing each as a permanent benchmark.

⛳️ Requirements

• Custom Chart Engineering: Developed complex visualizations that exceed the capabilities of off-the-shelf libraries, rather than merely configuring them.

• Interaction-Design Instinct: Understand the nuances of zoom, pan, brush, crosshair, and drill-down; you recognize what constitutes quality in these interactions and have experience building them.

• Large-Dataset Performance Discipline: Familiarity with LOD downsampling, viewport culling, profiling tools, and frame-time budgets on real lower-end devices.

• Visual Taste Plus Engineering Rigor: Equally adept in Figma and using a profiler.

• Operational Ownership: Willingness to be on call for the rendering layer you develop, including addressing platform-specific regressions.

• Listener Mindset: Inquire with expert users about their chart reading habits before determining the best way to visualize data.

• Desirable (but not mandatory): Previous experience in data visualization-heavy roles such as trading-desk frontends, BI tools (like Tableau, Power BI), genomics/biomedical visualization, or scientific software.

• Background in signal-intensive domains where waveforms or spectra serve as the primary medium.

• Experience with golden-testing or visual-regression for charts.

• Test-driven development as the standard practice for non-rendering segments of the chart engine.

🏝️ Benefits

• Visualization-First Product: Charts are central to the user experience, not merely an ancillary feature.

• Specialist Team: Collaborate with a dedicated power-quality analyst, lead architect, data-processing engineer, and hardware product teams.

• Real-World Dataset Complexity: Work with multi-channel, multi-phase, multi-aggregation-interval, gigabyte-scale recordings.

• Made-in-Germany Quality: Benefit from decades of measurement-instrument heritage, catering to a customer base that values accuracy.