Fullstack Engineer

  • location: Raleigh, NC
  • type: Temp to Perm
  • salary: $49.50 - $61.88 per hour
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job description

Fullstack Engineer

job summary:
Summary:

  • In this role as a full stack engineer, you will be part of a cross-functional data analytics and visualization dev team responsible for reengineering the way our organization consumes, transforms, and visualizes various critical data assets.
  • We are looking for a highly motivated and well-rounded engineer who "gets it", who thrives in a dynamic environment, who doesn't recognize role boundaries, and who is always swarming to get things done.
 
location: Raleigh, North Carolina
job type: Contract
salary: $49.50 - 61.88 per hour
work hours: 8am to 5pm
education: No Degree Required
 
responsibilities:
  • As part of this team, you will serve as a collaborative force, focused on empowering creativity and delivering innovative solutions to our stake-holders. Fundamental responsibilities will include:
  • Developing the platform required for optimizing data ingestion, transformation, and visualization from a wide variety of data sources using various technologies
  • Promoting our internal opensource culture by materially contributing to reusable component libraries
  • Employing various learning models to broaden the value of horizontal domain data (vs silos)
  • Efficient data harvesting across a broad environment mix, from on-prem to private cloud to public cloud
  • Collaborating with various stakeholders (executive/product/data/design) to solve data challenges and ensure organizational success
  • Performing root cause analysis on internal and external data lifecycle processes to answer specific business questions and identify opportunities for improvement
  • Ensuring working code meets the definition of done
 
qualifications:
TOP REQUIREMENTS:

  • 4+ years experience as a full stack engineer, preferably within a modern data analytics environment incorporating various components of the noted the tech stack below
  • 4+ years experience in building/optimizing data pipelines spanning diverse back-end technologies (Python, Go)
  • 4+ years experience in message queuing, stream processing, and highly scalable data asset store technology
Experience will set candidates apart from one another:

  • Full stack engineering experience in a more modern data/web application environment. Heavy in the middle and back-end experience vs. front end experience.
  • Gold star: if they have Azure cloud experience.
Required Qualifications

  • 4+ years experience as a full stack engineer, preferably within a modern data analytics environment incorporating various components of the noted the tech stack below
  • 4+ years experience in building/optimizing data pipelines spanning diverse back-end technologies (Python, Go)
  • 4+ years experience in message queuing, stream processing, and highly scalable data asset store technology
  • Strong understanding of modern data architectural patterns and structures
  • Strong understanding of the API lifecycle, including design, versioning, pagination, etc
  • Ability to translate business needs into engineering deliverables/tasks
  • Analytical thinker who thrives on swarming with their team and solving whatever challenge that may be presented
 
skills: Tech Stack :

  • Primary langs: Python, Go, JS
  • Frameworks: Vue.js, Flask, Quarkus
  • Data Viz: Vuetify, Plot.ly, JS
  • Database: experience with relational & non-relational databases - Postgres, MongoDB, Cassandra, CockroachDB, Neo4J
  • CI/CD Pipelines: Github Enterprise, Jenkins (JPAC)
  • Infra: Docker, K8s, OpenShift, Azure Cloud
  • Auto-testing: Pytest, Cypress, Jasmine/Mocha, Selenium, etc

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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