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 Information 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.

As Nationwide’s Pet Insurance business grows, data is driving our next wave of innovation. From strategic decisions to customer insights, analytics are essential to our success. We’re seeking a skilled data professional to help evolve our Pet Data Warehouse into a scalable, intelligent platform that supports enterprise-wide transformation.

This role supports the SEPM team across data and application domains, contributing to alignment and impact as we scale.

It’s a chance to shape strategy, build future-ready solutions, and apply AI/ML-powered analytics to redefine pet insurance.
 

Technical Skills:

• SQL & Python: Expert in SQL and knowledge of Python - advanced querying, data manipulation, and analysis.

• Visualization Tools: Tableau, Power BI

• Statistical Analysis: A/B testing, regression, clustering.

• Cloud & Big Data: Snowflake, Oracle, Databricks.

• Data Governance: Privacy laws (GDPR, CCPA), data security.

• Data Modeling: Experience with data profiling mapping and modelling tools - conceptual/logical/physical models, normalization.

• Database Systems: Relational (PostgreSQL)

• ETL/ELT Tools: Informatica, Talend

• Modeling Tools: Erwin

• System Design: APIs, integration, scalability.

• Ability to extend existing data model per enhancement requirements 

• Ability to lead requirements elicitation sessions and Elicits reporting and analytic requirements from business and technology requestors to generate visualization or analysis

• Experience w/ Insurance domain data 

Soft Skills

• Communication: Explaining insights to non-technical stakeholders.

• Business Acumen: Aligning data work with strategic goals.

• Problem Solving: Identifying patterns and proposing solutions.

• Collaboration: Working across teams (engineering, product, execs).

• Adaptability: Keeping up with evolving tools and trends.

Job Description Summary

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.

Job Description

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 t