Senior Data Engineer

• Design and build production-grade ELT pipelines for lab and manufacturing data

• Architect secure, reliable data movement between on-prem systems and AWS

• Develop well-structured, performant warehouse data models for analytics and ML

• Write, test, and optimize complex SQL used in production dashboards and workflows

• Deploy and manage AWS infrastructure using infrastructure-as-code

• Implement monitoring, data quality checks, and system observability

• Partner closely with scientists and engineers to translate real-world workflows into reliable data systems

• Partner closely with scientists and engineers to translate real-world workflows into reliable data systems

• Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline

• 3-5+ years of data engineering experience

• Strong Python — able to write clean, modular, well-tested, production-ready code

• Advanced SQL — comfortable designing schemas, reading query plans, and tuning performance at scale

• Experience with data modeling and query optimization in a cloud data warehouse

• Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CDK, CloudFormation)

• Strong software engineering fundamentals (version control/Git, testing, CI/CD)

• Ability to operate independently and own data systems end-to-end

• Experience with manufacturing or industrial data

• Scientific background or familiarity with lab-based research
• AWS and/or ClickHouse-specific experience

• Experience supporting AI/ML data pipelines

• Experience supporting AI/ML data pipelines

• Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $120-160k

• 15 Vacation Days, 10+ Holidays, Sick time off
• Full medical, dental, and vision coverage for team members, 60% coverage for dependents
• 401k with match
• Paid parental leave with flexible return-to-work policy
• Diverse and inclusive work environment