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# IT Data Engineer

- **Company:** TekWissen LLC
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Salary:** $90,000.0 - $110,000.0
- **Contract:** Temporary contract
- **Skills:** 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, Google Cloud, Test-Driven Development (TDD), Kubernetes, Apache Kafka, Restful APIs, Stream Processing, Grpc, Apache Beam, Docker
- **Published:** August 30, 2026
- **Apply:** https://www.careerjet.com/jobad/usc6646d85710c2b757cc801a7c4b4b0ab

## About the Role

* 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

## 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


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