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Data Engineer - REMOTE

  • Salary: $70 - $120 / hour
  • Job Type:Contract

Posted 5 months ago

Data Engineer (Multiple roles)
100% Remote
Long term Contracts 

Our client, a multinational global company, has immediate needs for qualified Data Engineers. We are looking for candidates with a "computer science" mindset, and who come from Big Data environments.   These positions will assist with several large corporate initiatives which require extensive experience developing complex data structures and algorithms.


  • Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
  • Architects, designs, implements and maintains reliable and scalable data infrastructure.
  • Writes, deploys and maintains software to build, integrate, manage, maintain, and quality assure data.
  • Adheres to and advocates for software engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
  • Responsible for deploying secure and well-tested software that meets privacy and compliance requirements; develops, maintains and improves CI / CD pipeline.
  • Responsible for service reliability and following site-reliability engineering best practices: on-call rotations for services they maintain, responsible for defining and maintaining SLAs.
  • Design, build, deploy and maintain infrastructure as code. Containerizes server deployments.
  • Actively contributes to improve developer velocity.
  • Mentors others.


  • Deep and hands-on experience (typically 5+ years) designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
  • Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)   
  • Advanced SQL knowledge
  • Experience designing and implementing large-scale distributed systems   
  • Deep knowledge and hands-on experience in technologies across all data lifecycle stages
  • Strong stakeholder management and ability to lead large organizations through influence
  • Continuous learning and improvement mindset  
  • BS degree in computer science