Senior R&D Data Engineer, Hardware Systems

R&D Data EngineerLydian is looking for an R&D Data Engineer to build and own the data backbone of our technical organization. As we scale from pilot operations toward commercial production, our teams are generating a growing volume of experimental, manufacturing, and quality data. The ability to store, connect, and analyze that data well has become central to how quickly we can learn and improve. In this role you will develop our data infrastructure, build the analysis and visualization tools our engineers and scientists rely on, and carry out statistical analyses in support of the entire technical team.This is a data generalist role at the intersection of hardware and software. You should be equally at home designing a database schema, writing Python to wrangle time-series data streaming off lab instruments, building a clear plot or dashboard, and talking through an analysis with a process engineer. You will report to the VP of R&D and work closely with the full R&D team as well as our mechanical and process engineering groups.ResponsibilitiesDesign and maintain data infrastructure. Establish structured, systematic data storage across our tools (currently Nominal and Notion, plus others as needs evolve). Ensure experimental run data (time series), run metadata, and manufacturing and QC data are integrated, consistently formatted, and easy to sort, filter, and query for analysis.Build analysis and visualization tools. Create the data views, plots, and statistical tools that help the team analyze data faster and better. For example, this will include standardizing and automating run summary statistics and overall performance metrics across R&D and pilot experiments.Enable laboratory data acquisition. Program and maintain data-acquisition software (e.g., DAQ Factory, Ignition) so that R&D and pilot test equipment stream reliably into our centralized databases. Build in data validation checks that quality-control data at the point of acquisition or entry.Run cross-functional analyses. Perform statistical and regression analyses that connect manufacturing and QC data with experimental run data to surface insights across functions.Partner across the technical team. Work with scientists and engineers to understand their data needs and translate them into reliable tools and workflows, and help maintain the IT infrastructure of servers and software systems that house our data.QualificationsBS or MS in an engineering or physical-science discipline, computer science, data science, or a related field5+ years of experience working with data in a hardware, laboratory, or physical-science R&D environment.

Experience only in software absent a physical science/hardware R&D focus is not suitable for this role.A data generalist with demonstrated strengths across data acquisition, infrastructure, visualization, and statistical analysisDemonstrated success establishing or improving data storage and analysis infrastructureComfortable working in a hardware-focused, chemical engineering and materials science data environmentExperience with time-series data and relational databasesProficiency programming for data science, including Python and at least one data-acquisition platform (LabVIEW, DAQ Factory, or Ignition)Familiarity with data-acquisition hardware and software protocolsStrong cross-disciplinary communication skillsAbility to independently identify challenges, prioritize work, and implement solutions as the most senior Data professional on Lydian's teamPreferred QualificationsAn educational or professional background in chemical engineering, materials science, mechanical engineering, or another field relevant to Lydian's technologyExperience with our current data tools (Notion, Nominal), JMP, or additional data-acquisition platforms (LabVIEW, DAQ Factory, Ignition)Basic IT and networking skillsCompany Culture and BenefitsChallenging, collaborative, and meaningful work and an important voice in company developmentCompetitive salary commensurate with experienceMeaningful equity compensationUnlimited PTO and expectation that all employees take significant time off to rest, recharge, and enjoy life outside workExcellent insurance with 100% of healthcare, vision, and dental premiums covered for the employee, and 80% coverage for dependents401(k) with company match