Data Engineer: Snowflake + Python — Hybrid & AI-Ready Pipelines

Nationwide Mutual Insurance Company; Ohio; Híbrido; USD 96.000 - 178.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical/dental/vision

401(k) plan with company match

Hybrid work schedule

Resumo da vaga

Nationwide Mutual Insurance Company is hiring a Data Engineer to design, build, and maintain scalable data pipelines and data products for analytics and AI-driven use cases. The role collaborates with analytics, product owners, software engineers, and data scientists to provide governed, high-quality data across cloud and hybrid environments.

Required skills include Snowflake, Python, data warehousing, data modeling, AWS services, and CI/CD.

Qualificações

• Undergraduate studies in computer science or related field preferred.
• Four to six years of data engineering experience in warehousing, modeling, and pipelines.
• Experience with Cloud platforms (AWS) and data governance practices a plus.

Responsabilidades

• Design, build, and support scalable data pipelines and data products.
• Collaborate with analytics, product owners, and data scientists to deliver data solutions.
• Ensure data quality, governance, security, and observability across environments.
• Develop API integrations and data ingestion for batch and streaming workloads.
• Support DevSecOps practices and CI/CD using GitHub, Jenkins, and related tools.

Conhecimentos

Snowflake

Python

Data Warehousing

Data Modeling

AWS Services

Data Pipelines

API Integrations

SQL

Spark

CI/CD

GitHub

Formação

Undergraduate studies in computer science, MIS, or related field

Ferramentas

Databricks

Descrição da vaga

Nationwide Mutual Insurance Company is hiring a Data Engineer to design, build, and maintain scalable data pipelines and data products for analytics and AI-driven use cases. The role collaborates with analytics, product owners, software engineers, and data scientists to provide governed, high-quality data across cloud and hybrid environments.

Required skills include Snowflake, Python, data warehousing, data modeling, AWS services, and CI/CD.