Overview:
In this Data Engineer role you design, build, and support scalable data pipelines and data products to enable analytics, reporting, and AI-driven solutions across Nationwide Pet. You collaborate with business, analytics, product, software, and data science teams to deliver governed, high-quality data solutions in cloud and hybrid environments. You’ll work on end-to-end data platforms that support real-time and batch processing, data quality, and observability. This is a mission-driven opportunity to advance a data-enabled culture with measurable business impact. Compensation / Benefits medical/dental/vision life insurance short and long-term disability paid time off (minimum 18 days per year) nine paid holidays 401(k) with company match
Responsibilities:
Design, develop, and implement data products and pipelines Create data models and data flows for reporting and analytics Ensure data quality, governance, and security across solutions Support CI/CD practices and tooling integration Develop and maintain batch and streaming data pipelines; API integrations Implement data monitoring and observability; perform testing and validation Collaborate with cross-functional teams to translate business needs into technical solutions Support data engineering initiatives within a defined product or platform scope
Key requirements:
Snowflake Python Data warehousing & data modeling AWS services Data pipeline development API integrations Advanced SQL Spark CI/CD GitHub Experience architecting data solutions on AWS/Snowflake/Databricks Experience with cloud tech and data ingestion/validation frameworks Data observability and AI/ML readiness Data governance, metadata, lineage, and security controls Troubleshooting large-scale data pipelines Strong collaboration and communication skills collaboration communication problem-solving Snowflake Python Data Warehousing