Specialist, Data Engineer - NF

Nationwide • Columbus, OH

1d • Hybrid

About The Position

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.

Requirements

• Proficient in SQL.
• Strong proficiency in Snowflake (or equivalent) is essential.
• Experience in ETL/ELT processes including Python.
• Experience working in Lean, Agile, DevOps, and Cloud hosting environments.
• Excellent collaboration and communication skills.
• 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.
• 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.

Nice To Haves

• Insurance/financial services industry knowledge a plus.
• Graduate studies in business, statistics, math, computer science or a related field are a plus.
• Certifications are not required but encouraged.

Responsibilities

• 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 ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration.
• Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
• Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
• Creates simple to moderate business user access methods to structured and unstructured data by such techniques 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.
• Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
• 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.
• 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.
• 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.
• Practices code management and integration with engineering Git principle and practice repositories.
• May perform other responsibilities as assigned.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree