Data Test Engineer - Temp to Hire (Hybrid - In Office 10 days/Month)

AI overview

Ensure the quality and reliability of data infrastructure and services through automated testing, defect identification, and collaboration with cross-functional teams.

We are adding a Data Test Engineer to our team!  This is a hybrid position requiring individuals to work in office 10 days per month; or as needed for business needs.  


Who We Are:

Since 1909, National Guardian Life Insurance Company (NGL) has been one of America’s most successful and highly rated independent life insurance companies. We specialize in a suite of innovative products for life’s journey, giving people the financial stability, careful guidance and peace of mind to lead a life filled with confidence, dignity and grace.

 

NGL's Core Values – integrity, dependability, collaboration, compassion and growth are a foundation of our company and help to build on the interactions we have with our policyholders, partners, funeral homes and each other. We believe in creating an inclusive, welcoming environment for all where diversity is celebrated, and everyone is encouraged to live their best, most authentic self. We offer Employee Resource Groups for employees to get involved, learn, network, and offer professional and personal development opportunities.


With over 100 years of experience, our passion is to serve people. Learn more by clicking here or visiting https://www.youtube.com/watch?v=JlB7J8740hU


Work Environment: NGL offers a flexible work environment where employees can work fully remote, hybrid or onsite at our Madison, Wis. office. We support virtual working arrangements in certain states outside of WI.


A Day in the Life:

The Data Test Engineer plays a critical role in ensuring the quality and reliability of data infrastructure, user interfaces and services. This position focuses on validating data and requires attention to detail, an analytical mindset and the ability to design and leverage high quality test cases. This position plays a vital role in delivering first-in-class software products to NGL's valued customer base.

  

Primary Responsibilities: 

    Automated Test Design

    • Create and design automated data test scenarios based on system specifications.
    • Develop test scripts using environment appropriate tools to ensure data accuracy and consistency.
    • Develop automated testing strategies and provide feedback in analysis, design, implementation, and execution phases.
    • Think creatively and brainstorm suggestions for developing, releasing, and maintenance of test procedures.
    • Identify opportunities presented in regression testing, ELT testing, browser testing, performance testing, capacity and stress testing, resiliency testing, environment management services, and infrastructure testing.
    • Confirm data and implement data manipulation or modeling as needed.

    Defect Identification

    • Investigate data quality defects thoroughly and document.
    • Provide clear steps to reproduce issues along with precise definitions of the environment in which the defect was located.

    Test Documentation

    • Maintain accurate test documentation, including test cases, test data, and test results.
    • Communicate best practices in data testing and quality across teams.

    Collaboration

    • Work closely with the Software Quality Manager, Data Engineers, Developers, Product Owners, and other stakeholders to drive towards higher software and data quality.
    • Communicate effectively, honestly, and transparently to resolve issues promptly.
    • Collaborate with the team to improve testing processes.
    • Participate in Quarterly Planning, Daily Stand-up, Review and Retrospective meetings.
    • Be a positive influence for other team members; promote goodwill amongst IT and other departments of the organization.
    • Perform other duties and responsibilities as requested or required.

    Essential to Your Success:

    • Knowledgeable in Python and AWS Glue/Lamda.
    • Solid understanding of SQL for data validation, analysis and test automation.
    • Direct experience working in the following systems:
    • Version Control: Git
    • CI/CD: GitHub Actions, Gitlab pipelines, Jenkins
    • Experience in an Agile/DevOps environment in collaboration with Analysts, Product Owners and Application Developers
    • Experience with front-end & backend testing
    • Extensive experience with testing modern scripting language-based components
    • Must possess excellent verbal and written communication skills with confidence representing QA principles within agile teams and project leadership.
    • Additional system desired proficiencies:
    • Selenium, TestNG/Junit
    • AWS QuickSight/ Redshift
    • Terraform/AWS Cloudformation
    • Java
    • OnBase
    • Eloquence
    • Salesforce


    Education Requirements:

    • Preferred:  4 Year / Bachelors Degree in Information Technology or other related area preferred.  

    Years of Experience:

    • A minimum of five years of experience with automated unit and integration testing required. Experience in testing data validation scenarios required.
    • Exposure to Agile teamwork methods and experience in the insurance industry preferred.

     

    NGL is committed to creating a diverse environment and is an Equal Opportunity Employer. Qualified applicants will be considered for employment without regard to race, color, creed, religion, national origin, ancestry, citizenship status, age, disability, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

     

    NGL is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected].

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