Senior Data Engineer

Responsibilities: Design and build production-gradeELT pipelinesforlab and manufacturing data Architectsecure, reliabledata movement betweenon-prem systemsandAWS Develop well-structured, high-performingwarehouse data modelsforanalytics and ML Write, test, and optimizecomplex SQLpowering production dashboards and workflows Deploy and manageAWS infrastructureusinginfrastructure-as-code Implementmonitoring, data quality checks, andsystem observability Collaborate withscientists and engineersto convert real-world workflows into dependable data systems

Requirements: Bachelor’s degreein CS, Engineering, Mathematics, or a scientific discipline 2-4+ yearsof data engineering experience Strong Pythonskills for clean, modular, well-tested, production-ready code Advanced SQL, including schema design, reading query plans, and performance tuning at scale Experience withdata modelingandquery optimizationin a cloud data warehouse Familiarity withAWS, GCP, or Azureplus infrastructure-as-code tools such as Terraform, CDK, or Cloud Formation Strong software engineering fundamentals: Git/version control, testing, andCI/CD Ability to operate independently and ownend-to-end data systems TechnologiesELT, Python, SQL AWS, GCP, Azure Terraform, CDK, Cloud Formation Git, CI/CD Click House

Nice to have: Experience withmanufacturing or industrial data Scientific background or familiarity withlab-based research Experience building data software with Golang AWSand/or Click House -specific experience Experience supportingAI/ML data pipelines

Benefits: Competitive salary and equitycommensurate with experience (expected range:$116,000-$145,000for the posted level) 15 Vacation Days,10+ Holidays, andsick time off Full medical, dental, and visioncoverage for team members;60%coverage for dependents 401kwith match Paid parental leavewith a flexible return-to-work policy Diverse and inclusive work environment

Location: Alameda, CA (onsite)

Experience: 2 years minimum

Compensation: USD 116,000 - 145,000 per year