À propos de ce poste Data Engineer - AWS / Snowflake chez Sagility
Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.
Job title:
Job Description:
We are looking for an experienced Data Engineer to partner closely with our client in onboarding new customer data and building scalable ingestion pipelines. This role focuses on designing and modernizing cloud‑based data workflows that clean, transform, and prepare data for downstream standardization and business logic execution. The ideal candidate will be highly skilled in AWS, Snowflake, and infrastructure automation, with the ability to translate business requirements into reliable, production‑ready data solutions. Strong communication and client‑facing skills are essential, as this role involves gathering requirements, providing technical guidance, and delivering high‑quality data engineering outcomes.
Key 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 with strong analytical reasoning
Required Qualifications
- Experienced with usage of Claude Code for Application Development Works
- 5 years of professional experience in data engineering
- 5+ years of hands‑on AWS experience, including infrastructure provisioning and administration
- Strong proficiency with Terraform for infrastructure‑as‑code automation
- 3+ 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 with the ability to interact directly with clients
- Strong problem‑solving skills and critical‑thinking capabilities
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