IT Data Engineer
TekWissen LLC
St. Louis, MO, United States
8 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$90,000.0 - $110,000.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Amazon Web Services
Unit Testing
Microsoft Azure
Bioinformatics
Databases
Information Engineering
Data Mining
Data Flow Control
Protocol Buffers
NoSQL
Software Engineering
+9 more
Google Cloud
Test-Driven Development (TDD)
Kubernetes
Apache Kafka
Restful APIs
Stream Processing
Grpc
Apache Beam
Docker
Job description
What you will do is why you should join us:
- 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
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
- A level of comfort with Unit Testing and Test Driven Development methodologies
- Familiarity with creating and maintaining containerized application deployments with a platform like Docker
- A 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
Bonus points for:
- 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
About the company
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.
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