Staff R&D Data Engineer, Hardware Systems at Lydian
Boston, MA
$160,000–$210,000
Jul 30, 2026
Boston, MA
Sep 24, 2026
What this job asks for AI summary
This role at a sustainable aviation fuel startup involves building and owning the data infrastructure for the R&D organization — covering data acquisition from lab instruments, database design, pipeline development, and statistical/regression analysis. The ideal candidate is a data generalist comfortable bridging hardware and software, working directly with scientists and process engineers to turn experimental and manufacturing data into actionable insights.
Senior level · 10+ years · Bachelor's required · Full-time
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Posted 2 times — it's one opening, so apply once.
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How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location is specified in the posting; the CBSA and state fields are left blank. The role appears to be on-site or hybrid given the lab/hardware context, but this is not stated explicitly.
The DAQ platform requirement lists LabVIEW, DAQ Factory, and Ignition as interchangeable options — proficiency in at least one is required. All three are captured under a single skill with alternatives.
The posting lists 'statistical/regression analysis' as a required capability but names no specific statistical software package; it is captured as a named skill reflecting the concrete analytical method required.
'AI coding assistants' are mentioned as a required fluency but name no specific tool (e.g., GitHub Copilot, ChatGPT); omitted as too generic to constitute a named technology skill.
The SOC classification is Medium confidence: the role spans data infrastructure/pipeline building (15-1243) and analytical/statistical work on experimental data (15-2031). The infrastructure and schema-design responsibilities are primary, so 15-1243 is chosen, with 15-2031 as the runner-up.
The degree requirement states 'BS/MS' — a Bachelor's is the minimum hard gate and is recorded accordingly.
No compensation figures are provided beyond 'competitive salary commensurate with experience.'
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): statistical/regression analysis.
Read the full posting
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