Senior/Staff Software Engineer, Data

The role

You will build data pipelines and visualizations to turn manufacturing and test data into signals for engineers, researchers, and leadership. You will work with optical, manufacturing, and quality/reliability engineers to design data models and dashboards.

What you will do

• Architect and build data pipelines and infrastructure for manufacturing and test data.
• Design, build, and maintain dashboards and visualizations for stakeholders.
• Partner with optical, manufacturing, and quality/reliability engineers to translate requirements into data models and tooling.
• Build and maintain automated data quality checks and validation pipelines.
• Identify and close data gaps in collaboration with domain experts.
• Drive improvements to pipeline reliability, turnaround time, and cost.
• Apply software engineering practices like version control, testing, code review, and CI/CD to data systems.
• Set technical direction for the data organization and mentor other engineers.

Required qualifications

• 5+ years of professional software engineering experience building and owning data systems.
• Strong SQL skills.
• Experience designing, building, and maintaining data pipelines.
• Experience building dashboards and visualizations with a BI or analytics framework such as Superset, Looker, Tableau, or similar.
• Proficiency with the Python data stack, including pandas and numpy.
• Proficiency with visualization libraries such as matplotlib, seaborn, altair, or similar.
• Experience with cloud data infrastructure, preferably AWS.
• Track record of partnering with non-data domain experts to turn ambiguous requirements into data solutions.
• Comfort owning a system end-to-end in a fast-moving startup environment.

Nice to have

• Direct experience with Apache Superset
• Experience with manufacturing, semiconductor, hardware, or other high-volume operational or test data
• Familiarity with statistical process control, SPC, or yield analysis concepts
• Experience working across distributed, multi-site teams

Benefits

• Competitive salary commensurate with experience
• Comprehensive benefits package including health insurance
• Professional development opportunities and certification support
• Access to cutting-edge technology and cloud platforms

About the company

Lumilens is building photonics infrastructure for AI supercomputing. It is a well-funded startup backed by Mayfield.