Senior R&D Data Engineer Hardware Systems

You will build and own the data backbone for the technical organization. You will design and maintain structured data infrastructure, integrate experimental, manufacturing, and quality-control data, and make it easy to query and analyze. You will create analysis, visualization, and statistical tools; program and maintain laboratory data-acquisition software; perform regression analyses; collaborate with scientists and engineers on data workflows; and help maintain the servers and software systems that house data.

Responsibilities

• Design and maintain data infrastructure across technical tools.
• Integrate experimental time-series data, run metadata, manufacturing data, and quality-control data.
• Build analysis, visualization, and statistical tools.
• Standardize and automate run summary statistics and performance metrics.
• Program and maintain data-acquisition software for R&D and pilot equipment.
• Build data-validation checks at acquisition or entry.
• Perform statistical and regression analyses across manufacturing, quality-control, and experimental data.
• Translate scientists' and engineers' data needs into reliable tools and workflows.
• Help maintain IT infrastructure for data servers and software systems.

Requirements

• BS or MS in an engineering, physical-science, computer science, data science, or related discipline.
• 5+ years of experience working with data in a hardware, laboratory, or physical-science R&D environment.
• Demonstrated strengths in data acquisition, infrastructure, visualization, and statistical analysis.
• Experience establishing or improving data storage and analysis infrastructure.
• Experience working in a hardware-focused chemical engineering and materials science data environment.
• Experience with time-series data and relational databases.
• Proficiency with Python for data science and at least one data-acquisition platform: LabVIEW, DAQ Factory, or Ignition.
• Familiarity with data-acquisition hardware and software protocols.
• Cross-disciplinary communication skills.
• Ability to independently identify challenges, prioritize work, and implement solutions as the most senior Data professional on the team.

Benefits

• Equity compensation.
• Unlimited PTO.
• Healthcare, vision, and dental insurance with 100% of employee premiums and 80% of dependent premiums covered.
• 401(k) with company match.