Cloud Data Engineer – AWS & Snowflake (Remote)

Sagility Technologies LLC; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Sagility Technologies LLC is hiring a Data Engineer - AWS / Snowflake to partner with clients in onboarding data and building scalable ingestion pipelines. The role focuses on cloud-based data workflows, data cleaning, transformation, and standardization, with strong emphasis on AWS, Snowflake, and infrastructure automation.

The ideal candidate will be adept at translating business needs into reliable data solutions, with excellent client communication and collaboration within Agile teams.

Qualifications

• 5+ years of hands-on data engineering experience.
• 5+ years of hands-on AWS experience including provisioning and administration.
• 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 Jira and Bitbucket.
• Excellent communication skills interacting directly with clients.

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 Jira and Bitbucket.
• Troubleshoot complex data, pipeline, and infrastructure issues with strong analytical reasoning.

Skills

Data engineering

Client communication

Cloud data pipelines

Agile collaboration

Tools

AWS

Snowflake

Terraform

Jira

Bitbucket

Job description

Sagility Technologies LLC is hiring a Data Engineer - AWS / Snowflake to partner with clients in onboarding data and building scalable ingestion pipelines. The role focuses on cloud-based data workflows, data cleaning, transformation, and standardization, with strong emphasis on AWS, Snowflake, and infrastructure automation.

The ideal candidate will be adept at translating business needs into reliable data solutions, with excellent client communication and collaboration within Agile teams.