Lead Automation (Python) QA Engineer (#1238)

Work type:
Technical Level:
Job Category:
Quality Control
Largest student transportation provider


N-iX is looking for an experienced Lead Automation Data QA Engineer to participate in a cutting-edge technologies project. 

About the project:

Our customer is the leading school transportation provider in North America, being the owner of more than a half of all yellow school buses in the United States. Every day, the company completes 5 million student journeys, moving more passengers than all U.S. airlines combined and delivers reliable, quality services for 1,100 school districts. 

N-iX has built a successful cooperation with the client delivering a range of complex initiatives. As a result, N-iX has been selected as a strategic long-term partner to drive the digital transformation on an enterprise level, fully remodeling the technology landscape for 55,000 employees and millions of people across North America. 


  • Lead and manage a team of data quality engineers.
  • Provide guidance, mentorship, and training to team members.
  • Develop and implement data quality strategies and roadmaps.
  • Collaborate with stakeholders to define data quality standards and metrics.
  • Establish and maintain a robust data quality framework.
  • Implement and maintain data quality assurance processes.
  • Monitor and report on data quality metrics.
  • Create and maintain documentation for data quality initiatives.
  • Setup automation based on data quality rules, processes, and best practices.
  • Investigate and perform root cause analysis of data-related issues, collaborating with relevant teams to determine underlying causes and implement effective solutions.
  • Support team members, provide recommendations. 

Qualifications and Skills:

  • 6+ years of Relevant work experience in data analysis, quality assurance, data governance, or a similar field is highly desirable. 
  • Proven leadership experience in guiding and mentoring a team of data quality engineers.
  • Experience in implementing and maintaining data quality frameworks.
  • Proficiency in SQL, Python, or similar languages for querying and manipulating data.
  • Experience with automation approach.  Experience automation tools.
  • Experience in setup of automation framework and CI/CD pipelines.
  • Strong understanding of data quality principles and methodologies.
  • Experience with ETL (Extract, Transform, Load) processes and tools.
  • Strong analytical and problem-solving skills, with an attention to detail.
  • DB(relational, document)
  • Ability to create comprehensive documentation of data quality processes, standards, and issues.
  • Ability to convey complex technical concepts to both technical and non-technical stakeholders.

Nice to have:

  • Kafka knowledge is a plus
  • Ability to work with big data technologies (e.g., Hadoop, Spark) is a plus

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Paid vacation days, sick leaves, and days off
  • Healthcare & Sport program
  • Medical insurance
  • Memorable anniversary presents
  • Corporate events and team buildings