Senior Data Engineer

Technology Partners is currently seeking a talented Senior Data Engineer.

Do you have experience building distributed data-processing systems, developing data-intensive APIs, and engineering cloud-based solutions using Go, Kafka, and modern container platforms?

Let us help you make your next big career move a reality!

The mission of this team is centered on developing agricultural solutions for a sustainable future. This approach requires collecting terabytes of complex scientific datasets—from genome sequencing, crop field trials, manufacturing, and supply chain—and transforming them into innovative software. You will accelerate the pace and quality of all crop system development decisions to unbelievable levels.

• 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 and 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.
• Project your talent into relevant projects, where strength of ideas trumps position on an org chart.

• At least 7 years experience in software engineering.
• At least 2 years experience with Go.
• Proven experience 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 (TDD) 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 No
  
  SQL.

• Experience with protocol buffers and gRPC.
• Experience with Google Cloud Platform (GCP), Apache Beam, and/or Google Cloud Dataflow.
• Experience with Google Kubernetes Engine (GKE) 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.

$77.00 - $110.00 /hr.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.

If this position sounds like you,
WE SHOULD TALK!

Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.