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
Ideal candidates for this role will have:
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Strong analysis and problem-solving skillsContinuous Improvement mindsetDevOps knowledgeStrong written and verbal communicationAgile knowledge and experienceContinuous LearnerCompensation grade E5
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:
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 withquery languages, statistical software and data wrangling and provisioning tools. Experienceanalyzing trends and patterns in structured and unstructured data to support business problem solving. Insurance/financial services industry knowledge a plus.
Other criteria, including leadership skills, competencies and experiences may take precedence.
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.
