Specialist, Data Engineer

Job Conditions

If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver 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 role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.

This position is within the IDS DBO organization, supporting the HA Databases (HA DB) application area—a portfolio of highly available Oracle databases, including INDA, CPPF, ODBS, VLDM, EXPLAIN, and IWDB that store core annuity, pension, and investment data to support critical back‑office and digital experiences.

• Design, build, and maintain data products and pipelines (batch and streaming) to support reporting, analytics, dashboards, data science, and operational processes.
• Acquire, transform, and integrate data from multiple internal and external sources, including structured, semi‑structured, and unstructured data.
• Develop data models and data flows (e.g., dimensional models, data building blocks) that align to business needs and enterprise standards.
• Translate business requirements into technical stories, estimates, and implementation plans for agile delivery teams.
• Implement and monitor data quality controls to ensure accuracy, completeness, and reliability of production data; create and run unit and integration tests for data solutions.
• Build and support APIs and data access methods to expose curated data to downstream consumers and applications.
• Apply Dev Sec Ops  practices, including use of CI/CD pipelines, version control, and automated testing, in line with enterprise standards.
• Partner with data architects, analysts, and business stakeholders to ensure solutions meet business objectives, data governance expectations, and security/privacy requirements.

• Proficiency in SQL and at least one modern programming or scripting language such as Python and UNIX shell scripting.
• Experience with cloud data platforms and infrastructure (e.g., Snowflake, Databricks, or similar), including security and access management.
• Familiarity with ETL/ELT tools like Informatica, data pipelines, and orchestration frameworks.
• Working knowledge of modern data storage technologies (relational, dimensional, big data, and unstructured data stores).

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…