Senior Data Engineer

Job Details
Posted Date:
May 16, 2024
 
Job ID:
45967
 
Location:
Maryland Heights , Missouri
 
Category:
 
Experience:
7 years
 
Remote?:
Remote
Job Description
  • Location: Maryland Heights, Missouri
  • Remote: Remote
  • Type: Contract
  • Job #45967

Technology Partners is currently seeking a talented Senior Data Engineer. Do you have experience with Go? Let us help you make your next big career move a reality!

What You Will Be Doing:

As a critical senior member of our data engineering team, you will play a pivotal role in creating distributed analysis capabilities across diverse datasets. Leveraging your expertise in software craftsmanship, algorithms, and data structures, you will drive continuous improvement and innovation. Collaborating with top-level talent, you'll tackle complex challenges with real-world impact, exploring technology stacks to maximize dataset potential. Your contributions will accelerate the pace and quality of crop system development decisions, shaping the future of agriculture.

Responsibilities:

  • Develop distributed analysis capabilities for diverse datasets.
  • Apply deep knowledge of algorithms and data structures to drive continuous improvement.
  • Collaborate with top-level talent to solve complex challenges.
  • Explore technology stacks to optimize dataset utilization.
  • Present work at relevant technical conferences.

Required Skills & Experience:

  • Experience: Minimum 7 years in software engineering.
  • Proficiency in Go: Minimum 2 years.
  • API Development: Proven experience (2 years) in building and maintaining data-intensive APIs using a RESTful approach.
  • Stream Processing: Experience with Apache Kafka.
  • Testing: Comfort with Unit Testing and Test Driven Development methodologies.
  • Containerization: Familiarity with Docker for creating and maintaining containerized application deployments.
  • Cloud Infrastructure: Proven ability to build and maintain cloud-based infrastructure on major cloud providers such as AWS, Azure, or Google Cloud Platform.
  • Data Modeling: Experience in data modeling for large-scale databases, relational or NoSQL.

Desired Skills & Experience:

  • Experience with protocol buffers and gRPC.
  • Familiarity with Google Cloud Platform, Apache Beam, Google Cloud Dataflow, Google Kubernetes Engine, or Kubernetes.
  • Background in scientific datasets or quantitative science applied to business problems.
  • Bioinformatics experience, particularly in large-scale storage, data mining of variant data, variant annotation, and genotype to phenotype correlation.

Pay:  $75.60 – $108 /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!

We realize our people are our most valuable asset, that is why we offer the following benefits:

  • Health, Dental, and Vision insurance
  • 401(k) retirement plan
  • Long and Short-Term disability
  • Life insurance
  • Direct deposit
  • Referral program

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

Keywords: Data Engineer, Big Data, Cloud Computing, Scientific Computing, Software Engineering, Go, Apache Kafka, RESTful API, Unit Testing, Docker

Looking for more opportunities with Technology Partners? Check out technologypartners.net/jobs!

Technology Partners is an Equal Opportunity Employer. Technology Partners does not discriminate on the basis of race, color, religion, sex, national origin, age, disability or any other characteristic protected by applicable state or federal civil rights laws.

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.

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