Sr. Scientific Data Engineer, R&D Data Platform
United States of America : Remote
R
USD 78K-156K Senior-level Full Time
Tasks
- Apply software engineering practices like version control testing and continuous integration
- Build data validation and quality frameworks
- Communicate technical decisions to technical and scientific audiences
- Design self service workflows for researchers
- Develop Python and SQL data pipelines APIs and notebooks
- Develop solutions using Amazon S3 Athena Glue EMR Lambda and SageMaker
- Evaluate AWS services and define data architecture with DevOps
- Improve documentation traceability and dataset discoverability
- Lead design and delivery of reusable scientific data tools and services
- Mentor engineers through code review and design feedback
- Own research data platform capability end to end
- Standardize data structures terminology and mappings
- Use Spark or PySpark for distributed processing when needed
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS SageMaker | Amazon Athena | Amazon EMR | Amazon S3 | Amazon Web Services | Automated testing | Code review | Continuous integration | Data Pipelines | Data Quality | Data Validation | Dependency management | Git | Machine Learning | PySpark | Python | REST API | SQL | Spark | Statistical Analysis | Technical documentation | Version control | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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