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Mobility Global

Delivers automotive data, analytics, solutions

ETL QA Engineer

Test Automation EngineeringUpdated on Nov 12
Full-timeNew York, NY, USA$69.7k - $120k /yr

About the Job

Requirements

  • A minimum of 4 years of Quality Engineering experience is required.
  • Experience with data Extract, Transform, Load (ETL) processes, including designing and executing tests for source-to-target mapping and data validation.
  • Experience working with cloud technologies, preferably Google Cloud Platform (GCP).
  • Hands-on experience with large-scale data storage, workflow orchestration, data integration jobs, and data processing tools.
  • Experience working with relational and non-relational databases.
  • Hands-on experience with scripting languages and a framework for data quality test automation.
  • Understanding of RESTful design and best practices, with hands-on experience testing APIs with and without automation tools.
  • Experience with performance testing and performance testing tools.
  • Hands-on experience with at least two leading testing tools or frameworks, including tools used for user interface automation and API testing.
  • Experience with Azure DevOps, Jira, or a similar issue or bug tracking system.
  • Experience working in an Agile software development organization, with a deep understanding of Scrum-based methodologies and practices.
  • Strong analytical skills and ability to solve complex technical problems.
  • Ability to think abstractly to identify bugs beyond conventional approaches.
  • Ability to work in an advisory capacity to identify key technical and business problems and develop and evaluate solutions.
  • Verbal, written, and interpersonal communication skills.
  • Must be currently authorized to work in the United States and not require employer sponsorship now or in the future.

Responsibilities

  • Participate in and improve the full lifecycle of services, from inception and design through deployment, operation, and refinement.
  • Participate in release planning by reviewing functional specifications and creating release plans.
  • Collaborate with software engineers to design verification test plans.
  • Design regression test suites and review them with engineering, applications, and field organization teams.
  • Produce regular reports on the status and quality of software releases and communicate findings to audiences at all levels.
  • Assess the quality, usability, and functionality of each release.
  • Develop and organize Quality Assurance processes for assigned projects in alignment with overall QA goals.
  • Lead and train colleagues who participate in testing processes.
  • Handle large-scale programs and projects involving multiple stakeholders, including Product, Development, and DevOps.
  • Maintain current knowledge of Quality Assurance best practices for interactive technologies.
  • Design and implement a test automation strategy for multiple product development teams at project onset.
  • Lead related automation projects, design reviews, and code reviews.
  • Work with leadership and QA members across cross-functional engineering scrum teams to inform the design and implementation of the automation framework.
  • Work with Architecture, Engineering, Quality Engineering, IT, and Product Operations leaders to create and implement processes that accelerate delivery of high-quality features and products at scale.
  • Contribute to a culture of high performance, transparency, and continuous improvement in infrastructure services and development pipeline streamlining.
  • Participate in a diverse global team of engineers, providing guidance, support, and clear priorities.

Desired Qualifications

  • Experience with data integration, data profiling, and data cataloging.

About the Company

Mobility Global

Delivers automotive data, analytics, solutions

Mobility Global provides data, analytics, and technology solutions for the automotive industry. Its CARFAX segment offers vehicle history reports, valuations, and service reminders to consumers and businesses, while its B2B segment supplies data, forecasting, and marketing tools such as automotiveMastermind and Polk Auto Solutions to OEMs, suppliers, dealers, and financial services. The company relies on a massive VIN database—832 million VINs covering 99% of global production in 145 markets—primarily sold through subscriptions that account for most of its revenue, with additional data services and tools. Its goal is to help customers make informed decisions and enable trusted vehicle transactions by delivering broad, scalable automotive data and analytics.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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