Everspring

Data Engineer

• Design and implement scalable, maintainable ETL/ELT pipelines for a variety of use cases (analytics, operations, product enablement)
• Build and optimize integrations with cloud services, databases, APIs, and third-party platforms
• Own production data workflows end-to-end, including testing, deployment, monitoring, and troubleshooting
• Collaborate with cross-functional stakeholders to understand business needs and translate them into technical data solutions
• Lead technical discussions and participate in architecture reviews to shape our evolving data platform
• Write clean, well-documented, production-grade code in Python and SQL
• Improve data model design and data warehouse performance (e.g., partitioning, indexing, denormalization strategies)
• Champion best practices around testing, observability, CI/CD, and data governance
• Mentor junior team members and contribute to peer code reviews
• Reports to Executive Director, Technical Strategy and Operations

Data Engineer II