AWS Data Engineer

Seeking a hands-on Data Platform Engineer to build and operate the AWS infrastructure supporting an enterprise analytics environment. This is an engineering-focused position centered on building pipelines, orchestration, and cloud infrastructure, not dashboards or business analysis.

What You'll Do

• Build and maintain an AWS-based data platform and Amazon Redshift environment.
• Code and build data pipelines using Python, dbt, and AWS Lambda.
• Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.
• Develop ETL/ELT processes and data transformation workflows.
• Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.
• Build for reliability, scalability, security, and cloud cost efficiency.
• Support data ingestion into the warehouse environment.
• Maintain data-flow documentation and operational runbooks.
• Translate analytics requirements into technical pipeline and infrastructure solutions.
• Recommend automation and architectural improvements as the platform grows.

• Hands-on experience building within an AWS-based data stack.
• Strong Python development/scripting.
• Experience coding and building data pipelines.
• Understanding of data warehousing and ETL/ELT architecture.
• Ability to independently own technical work in a lean environment.