Specialist, Data Engineer

Specialist, Data Engineer

Nationwide invites you to apply for the Specialist, Data Engineer role. At Nationwide® “on your side” goes beyond just words. Our customers are at the center of everything we do, and we are looking for associates who are passionate about delivering extraordinary care.

This is a hybrid position with expectations to be in the Columbus, Ohio office 2 days a week on Wednesdays & Thursdays.

• Technical Skills
  • Proficiency in data engineering concepts, including data pipelines, data management, and data quality
  • Experience with Extract, Transform, Load (ETL) processes and tools
  • Strong programming skills, especially in Python and SQL
  • Hands‑on experience with cloud platforms, particularly Amazon Web Services (AWS)
  • Data modeling and data architecture expertise
  • Familiarity with data governance and controls
  • Knowledge of business intelligence (BI) tools and dashboard/reporting solutions
  • Understanding of machine learning concepts and their application in data engineering
• Soft Skills
  • Strong communication skills, both written and verbal
  • Critical thinking and problem‑solving abilities
  • Agility and adaptability in a fast‑paced, collaborative environment
  • Business acumen and the ability to translate business needs into technical solutions
  • Innovation and continuous learning mindset
  • Ability to work effectively within Agile methodologies

Nationwide’s industry‑leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.

• Provides basic to moderate technical consultation on data product projects by analyzing end‑to‑end data product requirements and existing business processes to lead 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 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 Dev Sec Ops  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 reusable 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.

Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate…