Senior Data Engineer (Remote - US)

ebbo is an all-in-one loyalty company seeking a Senior Data Engineer to scale its data infrastructure and engineering capabilities. The role designs, builds, and maintains secure, reliable Snowflake data pipelines and integrations, supporting analytics and data-driven decisions across the organization.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT processes within Snowflake, utilizing native capabilities
• Build data ingestion pipelines using AWS DMS, S3, and Lambda
• Build and maintain data ingestion pipelines from external sources, including client SFTP servers, REST APIs, and vendor file feeds
• Orchestrate and monitor workflows using Apache Airflow
• Manage infrastructure as code using Terraform for CI/CD deployments
• Partner with cross-functional teams to translate business requirements into data solutions
• Apply data security practices including encryption, tokenization, and secrets management
• Troubleshoot and resolve production data pipeline issues

Requirements:

• Deep, hands-on expertise in Snowflake, including Snowpipe, Streams, Tasks, and Snowpark (Python)
• Strong SQL skills, with the ability to write and optimize complex, production-grade transformation logic
• Working knowledge of AWS services relevant to data pipelines: S3, Lambda, DMS, Secrets Manager, and KMS
• Experience orchestrating data workflows with Apache Airflow (DAG design, scheduling, monitoring/alerting)
• Experience with Infrastructure as Code, ideally Terraform, for provisioning and managing cloud resources
• Solid understanding of data security and privacy practices, including encryption, tokenization/de-identification, and access control design
• Strong analytical and troubleshooting skills across distributed, multi-system data pipelines
• Strong communication skills, with the ability to document designs clearly and collaborate cross-functionally with both technical and non-technical stakeholders
• Comfort incorporating AI-assisted development tools into daily workflow to improve efficiency and reduce repetitive manual work
• 5+ years of professional experience in data engineering, with significant hands-on experience in Snowflake
• Demonstrated experience building and maintaining production data pipelines in a cloud environment (AWS preferred), including monitoring pipeline health and troubleshooting/resolving production issues
• Experience owning end-to-end development of data engineering solutions with minimal oversight, from design through deployment and ongoing support
• Experience with change data capture (CDC) architectures and/or SQL Server transactional replication
• Experience supporting compliance-driven data initiatives, such as PII de-identification or data governance frameworks
• Experience working with relational databases such as PostgreSQL and/or SQL Server, in addition to Snowflake
• Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to improve engineering efficiency and automate repetitive tasks
• Familiarity with CI/CD pipelines and Infrastructure as Code (e.g., Terraform) is a plus