TekWissen LLC logo

IT Data Engineer

TekWissen LLC
  • Saint Louis,, MT
  • $87–$95
  • Quick Apply
1 day ago

Job Description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Title: IT Data Engineer
Location: St Louis, MO, 63146
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Hybrid
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
If you share our values, you should have:
  • 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
TekWissen Group is an equal opportunity employer supporting workforce diversity.

Numbers & Facts

LocationSaint Louis,, MT
IndustryComputer/IT Services
Salary$87–$95
Company Size100 to 499 employees
Year Founded2009
Websitehttp://www.tekwissen.com/

About Company

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



Skills

  • Algorithmsunmatched
  • Amazon Web Services (AWS)unmatched
  • Analysis Skillsunmatched
  • Apacheunmatched
  • Apache Kafkaunmatched
  • Application Programming Interface (API)unmatched
  • Bioinformaticsunmatched
  • Cloud Computingunmatched
  • Conferencesunmatched
  • Continuous Improvementunmatched
  • Data Miningunmatched
  • Data Modelingunmatched
  • Data Setsunmatched
  • Data Storageunmatched
  • Data Structuresunmatched
  • Diversityunmatched
  • Dockerunmatched
  • Genotypingunmatched
  • Information Technology & Information Systemsunmatched
  • Microsoft Windows Azureunmatched
  • NoSQLunmatched
  • Quality Assurance Methodologyunmatched
  • REST (Representational State Transfer)unmatched
  • Relational Databases (RDBMS)unmatched
  • Software Administrationunmatched
  • Software Engineeringunmatched
  • Test Driven Development (TDD)unmatched
  • Training Data Setsunmatched
  • Unit Testunmatched
  • Workforce Managementunmatched

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