Specialist, Data Engineer

If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Nationwide’s Technology team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re 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.

This position will support the Nationwide Financial Life Solution Area by providing data engineering capabilities for the ongoing support of the Life Data Lakehouse. This role is part of a highly motivated and exceptional team focused on delivering high quality outcomes in support of the Nationwide mission.

• 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.

If you have the drive and desire to be part of a future‑forward data‑enabled culture, we want to hear from you.

As a Data Engineer you’ll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready‑to‑use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready‑to‑use data can be for both real‑time and batch data processes and may include unstructured data. Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks.

You’ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.

• 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…