Specialist, Data Engineer - Snowflake and Python

If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide’s 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.

The Data Engineer will design, build, and support scalable data pipelines and data products that enable analytics, reporting, operational insights, and AI-driven solutions across Nationwide Pet. This role partners closely with business teams, analytics, product owners, software engineers, and data scientists to deliver reliable, governed, high-quality data solutions in cloud and hybrid environments.

Required skills: Snowflake, Python, Data Warehousing & Data Modeling, AWS Services, Data Pipeline Development, API Integrations, Advanced SQL, Spark, CI/CD, GitHub

Required:

• •Experience architecting data solutions using modern platforms such as AWS, Snowflake, Databricks etc.
• •Experience with Amazon Web Services (AWS), APIs, SaaS integrations
• •Build and support batch pipelines, even-driven pipelines, API-based integrations, Data ingestion frameworks, Data quality validation frameworks
• •Experience enabling AI/ML and analytics use cases through scalable data platforms, data observability frameworks, monitoring tools, and Power BI reporting solutions.
• •Familiarity with data governance, metadata management, lineage, and security controls.
• •Experience monitoring, troubleshooting, and optimizing large-scale data pipelines
• •Exceptional problem-solving and critical thinking skills
• •Strong collaboration and communication skills

Work Hours: This role supports NW Pet and Pacific Time Zone hours.

Work Arrangement: This role follows a hybrid schedule and requires in-office presence in Columbus, Ohio, Des Moines, IA or Scottsdale, AZ two days per week. Current remote associates will also be considered.

Work Authorization: This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the STEM OPT Extension program.

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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, AI engineering, 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 of 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 including big data, relational and SQL databases, unstructured data technology, and programming languages.

Job Description

Key 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 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 and 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 can be determined.

Creates simple to moderate business user access methods to structured and unstructured data by using 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.

Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices and use of 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 business requirements and stories, creates and executes test data and scripts to validate that quality and completeness criteria are satisfied. Creates automated testing programs and reusable test data for future code changes.

Practices code management and integration with engineering Git principles and practices.

Supports delivery of data engineering solutions within a defined product or platform scope.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Manager/Director Data Management.

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 : Four to six 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.

Knowledge, Abilities and Skills : 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 and 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.

Values: Regularly and consistently demonstrates the Nationwide Values.

Job Conditions:

Overtime Eligibility: Exempt (Not Eligible)

Working Conditions : Hybrid to 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.

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