Lixar is looking for a
Data Engineer

Data Engineer
  • Remote & Coast-to-Coast

Lixar I.T. is looking for a Data Engineer to join our data team.  As a Data Engineer, you will be part of a team supporting and participating in the ongoing development of leading edge applications.  The ideal candidate will be a senior developer who has a strong background in Big Data with a mix of general programming and some exposure to data visualization.

As an experienced Data Engineer, you have:

  • Post-secondary education in engineering or computer science or equivalent work experience
  • A proven track record using the Apache Hadoop ecosystem (Spark, Data Lake, Hive, HDFS, Impala) to tackle “big data” problems
  • A master of all things SQL (and NoSQL)
  • 5+ years of programming experience in Python
  • Proven experience using RESTful Web Services & JSON
  • Good experience using Cloud based data solutions (AWS/Azure)
  • Experience working with production systems
  • Knowledge of ELT, ELT, Lambda and Kappa data architectures

Preferably, you also have:

  • Knowledge of Continuous Integration and Source Control systems (e.g. Gradle, Maven, Bamboo, TeamCity, Git)
  • Experience with DataBricks
  • Some Data Visualization experience in Power BI, Tableau, or similar
  • Exposure to data science, machine learning or statistics
  • Some experience using Docker

As the ideal candidate, you:

  • Have a sense of humour
  • Know that your routine is in fact, not routine
  • Communicate exceptionally well with management, peers, and clients
  • Have “Attention to detail” as your middle name
  • Don’t blame others for your mistakes
  • Get things done!


Sound like you?

Send your résumé and salary expectations to Lixar today!

ottawacareers@lixar.com  |  eastcoastcareers@lixar.com

Thank you for applying! We look forward to meeting with the selected interview candidates.
Lixar IT welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.