Senior Data Engineer
Senior
Clickhouse
Cloud
Cloud Infrastructure
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
DevOps
DevSecOps
Engineer
ETL
Informatica
Information Technology (IT)
Reporting and Analytics
SQL
Job Description
Senior Data Engineer role on the Anthro Data Team to build and scale the data backbone across pipelines, modeling, AWS infrastructure, monitoring, and data quality.
Responsibilities
- 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, high-performing warehouse data models for analytics and ML
- Write, test, and optimize complex SQL powering production dashboards and workflows
- Deploy and manage AWS infrastructure using infrastructure-as-code
- Implement monitoring, data quality checks, and system observability
- Collaborate with scientists and engineers to convert real-world workflows into dependable data systems
Requirements
- Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline
- 2-4+ years of data engineering experience
- Strong Python skills for clean, modular, well-tested, production-ready code
- Advanced SQL, including schema design, reading query plans, and performance tuning at scale
- Experience with data modeling and query optimization in a cloud data warehouse
- Familiarity with AWS, GCP, or Azure plus infrastructure-as-code tools such as Terraform, CDK, or CloudFormation
- Strong software engineering fundamentals: Git/version control, testing, and CI/CD
- Ability to operate independently and own end-to-end data systems
Technologies
- ELT, Python, SQL
- AWS, GCP, Azure
- Terraform, CDK, CloudFormation
- Git, CI/CD
- ClickHouse
Nice to have
- Experience with manufacturing or industrial data
- Scientific background or familiarity with lab-based research
- Experience building data software with Golang
- AWS and/or ClickHouse-specific experience
- Experience supporting AI/ML data pipelines
Benefits
- Competitive salary and equity commensurate with experience (expected range: $116,000-$145,000 for the posted level)
- 15 Vacation Days, 10+ Holidays, and sick time off
- Full medical, dental, and vision coverage for team members; 60% coverage for dependents
- 401k with match
- Paid parental leave with 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
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