Nationwide Insurance Employment – Big Data Engineer

Website Nationwide

Job Description:

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 Responsibilities:

  • Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Creates simple to moderate business user access methods to structured and unstructured data by such techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations and validation of data content.
  • 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.
  • Practices code management and integration with engineering Git principle and practice repositories.
  • Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
  • 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
  • Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity.
  • Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
  • Writes and performs data unit/integration tests for data quality With input from a business requirements/story, creates and executes testing data and scripts to validate that quality and completeness criteria are satisfied. Can create automated testing programs and data that are re-usable for future code changes.

Job Requirements:

  • Three to five years of relevant experience with data quality rules, data management organization/standards, practices and software development.
  • Experience in data warehousing, statistical analysis, data models, and queries .
  • One to three years’ experience with Cloud technology and infrastructure including security and access management.
  • Insurance/financial services industry knowledge a plus.
  • Data application and practices knowledge.
  • Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby).
  • Good problem solving, 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.

Job Details:

Company: Nationwide

Vacancy Type:  Full Time

Job Location: Des Moines, IA, US

Application Deadline: N/A

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