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Staff Data Systems Engineer

Lightmatter is building photonics-based AI data center infrastructure and is hiring a Staff Data Systems Engineer to bridge hardware domain expertise with modern data platforms. The role requires hands-on work with foundries, OSATs, test and validation teams to onboard program data, build reliable data pipelines and models, and enable AI/ML-driven decisions across multiple hardware programs.

Skills

  • Proficiency in Python and SQL
  • Experience with Snowflake and dbt for data modeling
  • Experience with orchestration tools (Dagster or Airflow)
  • Hands-on experience with hardware test, manufacturing, or characterization data
  • Familiarity with semiconductor test data formats (STDF, WAT, parametric data)
  • Experience implementing data quality frameworks, monitoring, and alerting
  • Strong cross-functional communication and vendor engagement skills
  • Experience with CI/CD, RBAC, and cost optimization in data platforms
  • Ability to translate datasets into physical-world meaning for engineering stakeholders

Responsibilities

  • Lead data onboarding for new programs with foundries, OSATs, and internal engineering teams
  • Define and enforce data formats, delivery mechanisms, and quality standards for HVM ramps
  • Design, build, and maintain ingestion and transformation pipelines from wafer-level test to system validation
  • Develop and maintain dbt data models on Snowflake serving analytics and AI/ML workflows
  • Implement orchestration workflows (Dagster) and CI/CD for reliable, observable data delivery
  • Build data quality checks, monitoring, and alerting to ensure production reliability
  • Create performance metrics pipelines and stakeholder reporting; provide onboarding and training
  • Contribute to platform infrastructure (RBAC, cost optimization, self-service tooling) and architectural decisions
  • Mentor and grow junior engineers on data engineering and domain-specific context

Education

  • Bachelor’s degree in Photonics, Electrical Engineering, Data Engineering, Physics, or related field required
  • Master’s or PhD in a related field preferred

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Retirement savings matching program
  • Life insurance (basic, voluntary & AD&D)
  • Generous paid time off, sick leave, and public holidays
  • Paid family leave
  • Short-term and long-term disability
  • Training and development opportunities
  • Commuter benefits
  • Flexible hybrid workplace model
  • Equity grants and performance-based equity awards
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$206500 / YEARLY (est.)
min
max
$196000K
$217000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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CULTURE VALUES
Customer-Centric
Empathetic
Transparent & Candid
Growth & Learning
Work/Life Harmony
BENEFITS & PERKS
Maternity Leave
WFH Reimbursements
Fully Distributed
Company Retreats
Medical Insurance
Vision Insurance
Dental Insurance
Unlimited Vacation
Paid Time-Off
Paid Sick Days
Paid Holidays
Learning & Development
Health Savings Account (HSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$196,000/yr - $217,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 24, 2026
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