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!

　　Additional Job Description

The Enterprise Data Office (EDO) is seeking an energetic, innovative Data Developer! You will support lines of business by using your experience in Java, Informatica, Agile and Dev Ops. This will provide an opportunity to work on the Partner or Member applications that provides the data to Nationwide internal customers to be used in creating data solutions. This is a high performing team that is passionate and motivated about meeting customer needs.

Ideal candidates for this role will have:

Strong analysis and problem-solving skills

Continuous Improvement mindset

DevOps knowledge

Strong written and verbal communication

Agile knowledge and experience

Continuous Learner

　　Compensation grade E5

　　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 technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to assist in the design, development and implementation of data products.

　　Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.

　　Develops and maintains scaleable data pipelines for both streaming and batch requirements.

　　Assists in building out new API integrations to support continuing increases in data volume and complexity.

　　Practices code management and integration with engineering Git principle and practice repositories.

　　May perform other responsibilities as assigned.

　　Reporting Relationships: Reports to Manager/Director Data Leader.

　　Typical Skills and Experiences: 

　　Education:  Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred.  Graduate studies in business, statistics, math, computer science or a related field are a plus.

　　License/Certification/Designation:  Certifications are not required but encouraged.

　　Experience:  One to three years of relevant experience with data quality rules, data management organization/standards or practices.  Experience with query languages, statistical software and data wrangling and provisioning tools. Experience analyzing trends and patterns in structured and unstructured data to support business problem solving. Insurance/financial services industry knowledge a plus.

　　Knowledge, Abilities and Skills:  Data application and practices knowledge. Skilled with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Good oral and written communication skills.

　　Other criteria, including leadership skills, competencies and experiences may take precedence.

　　Staffing exceptions to the above must be approved by the hiring manager’s leader and HR Business Partner.

　　Values:  Regularly and consistently demonstrates the Nationwide Values.

　　Job Conditions: 

　　Overtime Eligibility: Exempt (Not Eligible)

　　Working Conditions: Normal office environment.

　　ADA:  The above statements cover what are generally believed to be principal and essential functions of this job.  Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.