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Sr Analyst, Data Engineer

Nationwide Mutual Insurance Company, Columbus, OH, United States


* **2+ years of hands-on experience building data pipelines across common platforms and tools (e.g., Informatica, Databricks, Snowflake, Python based solutions).*** **Experience working with AWS cloud technologies, preferably including storage, compute, security, or automation components.*** **Proficiency with Python, SQL, and Unix, including the ability to write clear SQL queries and understand data integration and ETL/ELT concepts.*** **Familiarity with using AI‐enabled development tools to support coding, testing, and documentation activities.*** **Understanding of reusable engineering practices, such as standardized automation, secure data handling, and quality checks, and willingness to apply them in day-to-day work.*** **Experience contributing to application monitoring and alerting, and exposure to DevOps or CI/CD tools as part of regular development activities.*** **Interest in designing scalable solutions and contributing ideas to improve data engineering capabilities and patterns.*** **Basic understanding of data governance concepts, tools, and policies, with the ability to apply guidance in project work.*** **Strong communication and collaboration skills, with the ability to work effectively across business and technology teams.*** **Experience partnering with stakeholders or SMEs to clarify requirements and help shape solution designs.*** **Insurance or financial services domain knowledge is a plus.*** **Experience working in Agile teams, including familiarity with Lean, Kanban, or Scrum methodologies.*** 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.**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.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,At Nationwide, we find purpose in protecting people, businesses and futures with extraordinary care – and we’ve been doing that since 1926. Our financial strength and caring culture extend beyond our associates into the communities we serve. You really can *feel* the difference at Nationwide, which is why we continue to be named one of the Fortune 100 Best Companies To Work For. Check out why others think we're , too, and let us know –
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