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Senior Staff Software Engineer, Data

MVP Ventures
Abu Dhabi, UAE
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
data pipeline architectureSQLPythonpandasnumpydata visualization
Free

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About Lumilens

Lumilens is building photonics infrastructure for AI supercomputing, including optical interconnects and scalable photonic engines.

The company is a well-funded startup working on optics, systems, and scalable computing infrastructure.

Position Overview

Build data pipelines and visualizations that turn manufacturing and test data into reliable signals for engineers, researchers, and leadership.

Work directly with optical, manufacturing, and quality/reliability engineers across a fast-growing, multi-site organization.

What You’ll Do

  • Architect and build pipelines and infrastructure for manufacturing and test data, including yield, SPC, failure, and reliability data.
  • Design and maintain dashboards and visualizations for executive, engineering, and external customer stakeholders.
  • Translate ambiguous domain requirements into robust data models and tooling with engineering partners.
  • Build automated data quality checks and validation pipelines, including checks for shipping readiness.
  • Identify and close missing, inaccurate, or inconsistent data gaps.
  • Improve pipeline reliability, turnaround time, and cost across product lines.
  • Apply version control, testing, code review, and CI/CD to data systems.
  • Help set technical direction across international sites and mentor other engineers.

Key Qualifications

  • Have 5+ years of professional software engineering experience, with substantial experience building and owning data systems.
  • Have strong SQL skills and experience designing, building, and maintaining data pipelines.
  • Have hands-on dashboard and visualization experience with Superset, Looker, Tableau, or a similar framework.
  • Be proficient with the Python data stack, including pandas and numpy, plus comparable visualization libraries.
  • Have experience with cloud data infrastructure, preferably AWS.
  • Be able to translate ambiguous requirements into reliable data solutions with non-data domain experts.
  • Be comfortable owning systems end-to-end from data model through dashboard.

Preferred Skills

  • Experience with manufacturing, semiconductor, hardware, or other high-volume operational or test data is preferred.
  • Familiarity with SPC or yield analysis concepts is preferred.
  • Experience working across distributed, multi-site teams is preferred.

Why Join Us

  • The opportunity includes competitive compensation, health insurance, professional development, certification support, and access to cloud technologies.
  • The role offers collaboration with cross-functional teams and a Silicon Valley-headquartered organization.

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