IT Data Engineer
About the role
Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets. Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate. Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact. Explore relevant technology stacks to find the best fit for each dataset. Pursue opportunities to present our work at relevant technical conferences. Project your talent into relevant projects. Strength of ideas trumps position on an org chart.
Responsibilities
- Creating distributed analysis capabilities around a large variety of datasets
- Continuously improving and innovating through software craftsmanship and deep knowledge of algorithms and data structures
- Solving complex and unique challenges with real world impact
- Exploring relevant technology stacks to find the best fit for each dataset
- Presenting work at relevant technical conferences
Requirements
- At least 7 years experience in software engineering
- At least 2 years experience with Go
- Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach
- Experience with stream processing using Apache Kafka
- Comfort with Unit Testing and Test Driven Development methodologies
- Familiarity with creating and maintaining containerized application deployments with a platform like Docker
- Proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
- Experience data modeling for large scale databases, either relational or NoSQL
Qualifications
- Experience with protocol buffers and gRPC
- Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes
- Experience working with scientific datasets, or a background in the application of quantitative science to business problems
- Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation
Location: St Louis, MO, 63146 • Duration: 12 Months • Job Type: Temporary Assignment • Work Type: Hybrid • Pay Rate: $87.00 - 95.00/Hr