Data Engineer - AWS / Snowflake

Sagility

2d • Remote

About The Position

Sagility is seeking an experienced Data Engineer to partner closely with a client to onboard new customer data and build scalable ingestion pipelines. The role involves designing and modernizing cloud-based data workflows that clean, transform, and prepare data for downstream standardization and business logic execution. The ideal candidate has strong expertise in AWS, Snowflake, and infrastructure automation and can translate business requirements into reliable, production-ready data solutions. The role also requires strong communication and client-facing skills to gather requirements, provide technical guidance, and deliver high-quality data engineering outcomes.

Requirements

• Five years of professional experience in data engineering.
• Five or more years of hands-on AWS experience, including infrastructure provisioning and administration.
• Strong proficiency with Terraform for infrastructure-as-code automation.
• Three or more years of Snowflake experience, including query optimization and cost management.
• Experience migrating pipelines and queries from SQL Server to cloud-based platforms.
• Familiarity with Agile tools such as Jira and Bitbucket.
• Excellent communication skills and ability to interact directly with clients.
• Strong problem-solving and critical-thinking capabilities.
• Experience using Claude Code for application development work.

Responsibilities

• Design, build, and maintain scalable data pipelines and cloud-based data solutions.
• Provision, configure, and administer AWS infrastructure across multiple services.
• Convert, optimize, and validate SQL Server queries and workloads in Snowflake.
• Monitor and optimize Snowflake performance and cost efficiency.
• Develop and maintain Snowflake data models, pipelines, and performance-tuned queries.
• Collaborate directly with clients to gather requirements, provide updates, and deliver solutions.
• Work within Agile environments using tools such as Jira and Bitbucket.
• Troubleshoot complex data, pipeline, and infrastructure issues using analytical reasoning.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed