Specialist, Data Engineer - Snowflake and Python

The Data Engineer will design, build, and support scalable data pipelines and data products that enable analytics, reporting, operational insights, and AI-driven solutions across Nationwide Pet. This role partners closely with business teams, analytics, product owners, software engineers, and data scientists to deliver reliable, governed, high-quality data solutions in cloud and hybrid environments.

Required skills: Snowflake, Python, Data Warehousing & Data Modeling, AWS Services, Data Pipeline Development, API Integrations, Advanced SQL, Spark, CI/CD, Git Hub

• Experience architecting data solutions using modern platforms such as AWS, Snowflake, Databricks etc.
• Experience with Amazon Web Services (AWS), APIs, SaaS integrations
• Build and support batch pipelines, even-driven pipelines, API-based integrations, Data ingestion frameworks, Data quality validation frameworks
• Experience enabling AI/ML and analytics use cases through scalable data platforms, data observability frameworks, monitoring tools, and Power BI reporting solutions.
• Familiarity with data governance, metadata management, lineage, and security controls.
• Experience monitoring, troubleshooting, and optimizing large-scale data pipelines
• Exceptional problem-solving and critical thinking skills
• Strong collaboration and communication skills

Work Hours:
This role supports NW Pet and Pacific Time Zone hours.

Work Arrangement: This role follows a hybrid schedule and requires in-office presence in Columbus, Ohio, Des Moines, IA or Scottsdale, AZ two days per week. Current remote associates will also be considered.

Work Authorization: This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the STEM OPT Extension program.

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, AI engineering, 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 of 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 including 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 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 and exploration.
• Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data…