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 role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.

This role will be filled in a hybrid capacity, with collaboration taking place in either our Columbus OH, Des Moines IA, or Scottsdale AZ, office 2 days per week.

As a Data Engineer, your expertise will be pivotal in Nationwide’s journey towards becoming a World Class Underwriting Company. Your ability to interpret and leverage data will provide the insights necessary for our business to drive innovation and excel in the underwriting field. Your role is not just about data, it’s about shaping the answers that enable us to lead the industry.

We’re seeking someone who:

• Excels in Data Analysis and Profiling:
  Has a strong ability in source to target mappings and data profiling.

• Possesses Strong Technical
  
  Skills:
  
  Demonstrates programming skills for creating reusable coding frameworks using environment variables, parameters, and metadata. Has experience resolving data issues in the data pipeline. Is proficient in SQL, Python and/or PySpark, and has experience using Databricks or Spark, and the AWS or Azure ecosystems.

• Effectively Bridges the Gap:
  Communicates effectively with business stakeholders on requirements, data quality issues, and the utilization of data in the products produced by our team.

• Demonstrates Curiosity and Partnership:
  Shows a strong curiosity to understand data and its implications. This curiosity is not limited to technical aspects but extends to an organic partnership with the business to develop a deeper understanding over time.

• Exhibits Mentorship Excellence:
  Elevates team competency by imparting both technical acumen and insights to less experienced associates.

• Adapts and Learns Continually:
  Continually learns new tools, technologies, and practices to maintain the usage of best practices in analytics.

• Experience creating streaming data would be considered a plus

#LI-CN2

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…