Specialist, Data Engineer Test Lead - ETL, Python, Perl

Tools and Technologies Used

Key Responsibilities

• Lead testing efforts for NF Actuarial Datamart initiatives, including test planning, scenario development, execution, and validation
• Assist developers in identifying and refining testing scenarios for new development, enhancements, and defect fixes
• Perform detailed data validation to confirm expected results across source, transformation, and target layers
• Write and execute SQL queries to investigate data conditions, validate results, and support root cause analysis
• Analyze data issues and partner with development teams to determine cause, impact, and resolution approach
• Manage defects through the full lifecycle, including documentation, prioritization, retesting, and closure support
• Handle walk-up requests and provide timely support for testing questions, data concerns, and issue triage
• Support and enhance test automation efforts, including Ruby-based automation where applicable
• Work with Informatica-based processes and data movement workflows as part of validation and issue analysis
• Contribute to continuous improvement of testing practices, automation coverage, and overall quality processes
• Collaborate across teams to ensure quality standards are met and releases are production ready

Required Qualifications

• 5+ years of experience in testing or quality assurance, with emphasis on data validation and system/integration testing
• Experience with Ruby automation or automated testing frameworks
• Experience working with Informatica processes in an ETL or data integration environment
• Strong experience with data validation and analysis of upstream and downstream data issues
• Ability to write SQL queries for testing, troubleshooting, and validation purposes
• Exposure to Python and interest in expanding development-oriented technical skills
• Experience managing defects and supporting issue triage through resolution
• Ability to work directly with developers to clarify requirements, define test scenarios, and improve solution quality
• Strong analytical, organizational, and communication skills

Preferred Qualifications

• Experience supporting enterprise data platforms or actuarial data environments
• Experience in ETL, data warehouse, or datamart testing
• Familiarity with release validation, regression testing, and automation-first quality practices
• Interest in growing from a testing-focused role into broader technical or development responsibilities

Candidate Profile

Key Responsibilities

• Provides basic to moderate technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.
• Produces data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration
• Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
• Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
• Creates simple to moderate business user access methods to structured and unstructured data by such techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations and validation of data content.
• Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
• Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity.
• Writes and performs data unit/integration tests for data quality With input from a business requirements/story, creates and executes testing data and scripts to validate that quality and completeness criteria are satisfied. Can create automated testing programs and data that are re-usable for future code changes.
• Practices code management and integration with engineering Git principle and practice repositories.
• May perform other responsibilities as assigned.
• Reporting Relationships: Reports to Manager/Director Data Leader.

Typical Skills and Experiences

• Education : Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.
• License/Certification/Designation : Certifications are not required but encouraged.
• Experience : Three to five years of relevant experience with data quality rules, data management organization/standards, practices and software development. Experience in data warehousing, statistical analysis, data models, and queries. One to three years’ experience with Cloud technology and infrastructure including security and access management. Insurance/financial services industry knowledge a plus.

Knowledge, Abilities and Skills

• Data application and practices knowledge. Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Good problem solving, oral and written communication skills.
• Other criteria, including leadership skills, competencies and experiences may take precedence.
• Staffing exceptions to the above must be approved by the hiring manager’s leader and HR Business Partner.
• Values: Regularly and consistently demonstrates the Nationwide Values.

Job Conditions

Benefits

• We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here .
• Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

NOTE TO EMPLOYMENT AGENCIES