Senior R&D Data Engineer at Lydian
Boston, MA
$130,000–$180,000
Jul 13, 2026
Boston, MA
Jul 21, 2026
What this job asks for AI summary
A data engineering role embedded within a hardware R&D organization, focused on building and owning the data infrastructure that supports experimental, manufacturing, and quality control work. Day-to-day responsibilities span database design, time-series data acquisition from lab instruments, statistical and regression analysis, and creating dashboards and visualization tools for scientists and process engineers. Suits a data generalist with hands-on experience in physical-science or laboratory environments rather than purely software settings.
Senior level · 5+ years · National · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location or city is stated in the posting; CBSA and state are left blank. Given the company (Lydian, a climate-tech startup) is US-based, the role is assumed to be US-based.
The SOC classification is a genuine judgment call. The role spans data infrastructure/pipeline building (15-1243 Database Architects), statistical/BI analysis (15-2031), and data acquisition programming — 15-1243 was chosen as the primary fit given the emphasis on designing and owning data storage infrastructure and schemas, with 15-2031 as a close runner-up for the cross-functional statistical analysis work.
The JD requires a BS or MS but explicitly accepts either; BS is recorded as the minimum hard requirement.
DAQ Factory, LabVIEW, and Ignition are listed together as interchangeable data-acquisition platforms in the required qualifications ('at least one of'). DAQ Factory is used as the primary name with the others as alternatives. However, all three also appear individually under Preferred Qualifications — those preferred entries are listed separately as preferred skills.
The 5+ years requirement is explicitly scoped to experience 'in a hardware, laboratory, or physical-science R&D environment' — pure software experience is explicitly called out as insufficient. This domain constraint is a meaningful gate beyond just years.
'Statistical analysis' and 'data visualization' are retained as skills here because the JD gates on demonstrated proficiency in these capabilities (not just mentions them as context), even though they are not named tools. They represent concrete, assessable competencies central to the role.
Compensation is described only as 'competitive salary commensurate with experience' — no figures are provided.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data acquisition hardware/software protocols.
Read the full posting
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