Nationwide Mutual Insurance-posted 2 days ago
Full-time • Entry Level
Hybrid • Columbus, OH
5,001-10,000 employees

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 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.
  • Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
  • 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.
  • Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred.
  • 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 .
  • 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.
  • Graduate studies in business, statistics, math, computer science or a related field are a plus.
  • Insurance/financial services industry knowledge a plus.
  • Desired experience in: AWS, Spark, Databricks, Unity Catalog, UAC, Splunk, Kafka, Kinesis, SQL, Python, Pyspark.
  • Familiarity with Rancher, Docker, Harbor, Kubernetes is a plus.
  • Familiarity with Scala is a plus.
  • Familiarity with Snowflake, Terradata, HBase, Dynamo DB is a plus.
  • medical/dental/vision
  • life insurance
  • short and long term disability coverage
  • paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
  • nine paid holidays
  • 8 hours of Lifetime paid time off
  • 8 hours of Unity Day paid time off
  • 401(k) with company match
  • company-paid pension plan
  • business casual attire
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