Senior R&D Data Engineer Hardware Systems

Skills

About the Role

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.

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.

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.

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.