Automation Engineer - Scientific Data, AI/ML Pipelines & Integration Dev
Boston, Massachusetts, United States
USD 125K-207K (estimate) Senior-level Full Time
Tasks
- Build Python backend services and APIs
- Collaborate with scientists on assay workflows
- Coordinate cross functional delivery using JIRA and Confluence
- Design SQL and NoSQL data models
- Develop data pipelines on AWS
- Ensure performance, security, and regulatory compliance
- Implement CI/CD pipelines
- Ingest validate and process experimental data
- Perform code reviews, debugging, and optimization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CodePipeline | AWS Lambda | AWS Step Functions | Agile | Amazon Aurora | Amazon EC2 | Amazon RDS | Amazon S3 | CI Pipeline | CI/CD | Confluence | Django | Docker | DynamoDB | ELT | ETL | FastAPI | Flask | Git | GitHub | GitHub Actions | GitLab | GitLab CI | IAM | Jenkins | Jira | Microservices | MongoDB | MySQL | NoSQL | NumPy | Oracle | Pandas | PostgreSQL | Pytest | Python | REST APIs | SQL | Scikit-learn | Scrum | Step Functions | Test-Driven | Test-Driven Development | Unittest
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Automation Engineer | Developer | Engineer | Software Developer
Regions
Countries
States
Cities
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