Senior Analytics Engineer

Analysts will use datasets to gather information in specific areas using specific software, in our case Cloud and Seeq. You will work with a motivated team of developers to develop, test, and deploy solutions that leverage time series data to improve our client's operational performance.


  • 3 years experience
  • Minimum BS stem subject
  • Some SME (any)
  • MS Azure, AWS, Google Cloud
  • Real-time data (Azure TSI, OSIsoft PI, AWS GLUE)
  • Python web app development/Flask/AKS/SQL
  • Dash app development
  • Machine Learning (Azure and AWS preferred)
  • Statistics, mathematics, fluid flow, heat transfer
  • Project management
  • Scrum, DevOps, SAFe/Agile
  • Prefer MS Analytics or PhD
  • Prefer MS Project

Staff can expect the following:

  • Pay scale commensurate with the industry
  • Four bonus opportunities: Individual Performance, Company Performance, Certification Achievement, Business Improvement
  • 15 days paid vacation
  • 10 days paid medical leave
  • 10 days paid national holidays
  • Visa and immigration sponsorship
  • Relocation allowance
  • Further education encouraged and sponsored
  • Certification opportunities
  • Opportunity to switch careers into Analytics
  • Career progression
  • Interesting and leading edge work with some of the industries largest companies
  • Member of a highly qualified and supportive team
  • Offices located in a pleasant urban environment close to Rice University in Houston
  • Work-from-home options
  • Coaching