Lumilens - Senior/Staff Software Engineer, Data
Requirements
• 5+ years of professional software engineering experience, with a substantial portion spent building and owning data systems such as data engineering, analytics engineering, or backend systems handling large operational datasets. We are hiring across Senior and Staff levels. • Strong SQL skills and experience designing, building, and maintaining data pipelines. • Hands-on experience building dashboards and visualizations with a BI or analytics framework such as Superset, Looker, Tableau, or similar. Direct experience with Apache Superset is a strong plus. • Proficiency with the Python data stack, including pandas and numpy, and visualization libraries such as matplotlib, seaborn, altair, or similar. • Experience with cloud data infrastructure, preferably AWS. • Track record of partnering directly with non-data domain experts to turn ambiguous requirements into concrete, reliable data solutions. • Comfort owning a system end-to-end, from data model through dashboard, in a fast-moving startup environment. • 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.
Responsibilities
• Architect and build the data pipelines and infrastructure that turn manufacturing and test data, including yield, SPC, failure, and reliability data, into dependable signal for engineering and leadership decisions. • Design, build, and maintain dashboards and visualizations for stakeholders across the executive team, internal engineering, and external customers. • Partner directly with optical, manufacturing, and quality/reliability engineers to translate ambiguous domain requirements into robust data models and tooling. • Build and maintain automated data quality checks and validation pipelines, including checks that gate critical processes such as shipping readiness. • Identify and close data gaps, including missing, inaccurate, or inconsistent data, in close collaboration with domain experts and other data/ML engineers. • Drive improvements to pipeline reliability, turnaround time, and cost across product lines. • Help set technical direction for the data organization as it scales across sites in Thailand, Bangalore, Singapore, and the United States, and mentor other engineers on the team.
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 • ● Collaborative work environment with cross-functional teams • ● Innovate with a Silicon Valley headquartered team, change the world
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