ABOUT EVERSPRING

Everspring is a leading provider of education technology and service solutions. Our advanced technology, proven marketing approach, research-based instructional design services, and robust faculty support deliver outstanding outcomes for our university partners, powering their success online.

REQUIREMENTS:

• 3+ years of experience in a data engineering or software engineering role, with a strong track record of delivering robust data solutions
• Proficiency in Python and advanced SQL for complex data transformations and performance tuning
• Experience building and maintaining production pipelines using tools like Airflow, dbt, or similar workflow/orchestration tools
• Strong understanding of cloud-based data infrastructure (e.g., AWS, GCP, or Azure)
• Knowledge of data modeling techniques and data warehouse design (e.g., star/snowflake schemas)
• Experience working with structured and semi-structured data from APIs, SaaS tools, and databases
• Familiarity with version control (Git), CI/CD, and Agile development methodologies
• Strong communication and collaboration skills

• 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