Key skills
PythonSQLAIMLETLAnalyticsSnowflakeBigQueryAWSGCPGoogle CloudTerraformGitHub ActionsS3GlueGitHubCRMCI/CD
About this role
Eaton is a company that focuses on digital education solutions, and they are seeking a Senior Data Engineer to support their Center for Excellence in Digital Education team. The role involves designing and implementing cloud-based data pipelines to unify data from various systems, ensuring stakeholders have access to reliable and timely data.
Responsibilities:
- Design and implement cloud-based data pipelines that connect enrollment CRM systems, digital marketing platforms, web analytics tools & student information systems into a unified trusted data environment
- Assist in architecting how data flows from source systems into our Snowflake data warehouse, ensuring marketing, enrollment, IT & academic stakeholders can access clean, reliablee & timely data
- Collaborate closely with analysts, marketers, enrollment managers & IT teams to understand data requirements and translate them into scalable, maintainable infrastructure
- Design and maintain robust ETL pipelines to ingest performance data from Meta, Reddit, Google Ads and other marketing-based APIs
Requirements:
- Proficiency with Snowflake (SQL, stored procedures, dynamic tables, streams/tasks) or comparable cloud data warehouse
- Proficiency in Python and SQL for pipeline development and data transformation
- Experience integrating data from CRM systems, enrollment management platforms, digital marketing platforms and/or web analytics tools
- Experience with Google Analytics 4; BigQuery; GCP (Google Cloud Platform); and AWS (App Flow, Lamdas)
- Understanding of data modeling, dimensional design & modern data lakehouse architectures
- Expertise in building and maintaining CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, Terraform)
- Familiarity with data governance considerations in higher education contexts (FERPA compliance, institutional data policies)
- Minimum Education Level Required Bachelor's Degree
- Minimum Years of Experience Required 5
- Experience with digital marketing data concepts: attribution modeling, UTM tracking, campaign performance data, funnel analysis
- Familiarity with enrollment funnel metrics and how they map to data infrastructure (inquiries, applications, admits, enrollments)
- Strong experience with AWS data services (DMS, Glue, S3, EventBridge) or equivalent cloud pipeline tooling
- Experience with data observability and quality monitoring tools
- Experience with AI/ML data pipeline requirements and feature engineering
- Cover Letter