Sr Analyst, Data Engineer

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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! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.

This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.

This role will be filled in a hybrid capacity, with collaboration taking place in either our Columbus OH, Des Moines IA, or the Scottsdale AZ office 2 days per week.

Join the team behind Gizmo, the core data platform supporting the Property & Casualty (P&C) business. As a Senior Analyst, Data Engineer, you'll be responsible for building and maintaining data pipelines that drive operational reporting. You'll work with tools like Databricks, Python, and SQL to deliver clean, structured data that meets the needs of analysts and business stakeholders. Your focus will be on optimizing workflows for performance and scalability, ensuring data quality across multiple sources, and contributing to automation and process improvements.

This role offers the chance to work with a modern tech stack and make a direct impact on business decision-making and operational efficiency. While Databricks, Python, and SQL are essential, experience with Git, CI / CD tools, and data modeling is a plus. You'll be part of a collaborative team committed to delivering trusted data solutions and continuous improvement.

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.

Key Responsibilities

• Provides technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to assist in 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 scalable 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.

Values

Regularly and consistently demonstrates the Nationwide Values.

Job Conditions

Overtime Eligibility : Exempt (Not Eligible)

Working Conditions : Normal office environment.

Benefits

We have an array of benefits to fit your needs, including : 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, and more. To learn more about the benefits we offer, click here.

Equal Opportunity Statement

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

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