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# Senior AWS IAM & Data Engineer

- **Company:** System One
- **Location:** Columbia, SC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Cloud Computing, Information Systems, Data as a Services, Extract Transform Load (ETL), Identity and Access Management, Python (Programming Language), Role-Based Access Control, Shell Script, SQL Databases, Scripting, Cloudformation, Infrastructure Automation Frameworks, Information Technology, Production Code, AWS Glue, Terraform, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://dejobs.org/x/x/4BBF967050E640039193D82D7FFD8108/job/

## About the Role

* 5+ years of experience with AWS IAM Identity Center, including permission sets, account assignments, federation, and enterprise integrations.

 * Strong knowledge of AWS IAM: roles, policies, trust policies, permission boundaries, least privilege, and cross account access.

 * Hands-on experience with AWS data services such as Redshift, S3, Glue, Athena, and Lake Formation.

 * Proven ability to develop and support ETL/data pipelines and orchestrate workflows.

 * Proficiency in SQL for querying, analyzing, and troubleshooting datasets.

 * Experience scripting with Python and/or Shell for automation tasks.

 * Familiarity with Terraform or CloudFormation for infrastructure setup and configuration.

 * Understanding of enterprise identity federation across AWS accounts and services.

 * Excellent problem-solving skills and ability to produce high-quality automated solutions.

 * Strong communication and collaboration abilities within enterprise teams.

 * Financial services or highly regulated environment experience is a plus.

 * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

## Description

* Support enterprise cloud identity services and AWS-based data and analytics within a large-scale financial services environment.

 * Configure and support AWS Identity Center, identity federation, permission sets, account access, and enterprise identity integrations.

 * Develop and maintain data ingestion, transformation, and reporting workflows using services such as Redshift, S3, Glue, and Athena.

 * Troubleshoot and automate among security, data, cloud, and application teams.

 * Independently evaluate technical options, produce production-quality code, and automate processes.

 * Collaborate with security, data, cloud, and application teams to ensure smooth operations and integrations.

 * Support ETL/data pipelines using AWS Glue, Lambda, Step Functions, EventBridge, or similar.

 * Query and analyze datasets, validate data, troubleshoot data quality issues, and support reporting needs.

 * Automate cloud, IAM, and data workflows with Python and Shell scripting.

 * Use Terraform or CloudFormation for infrastructure automation.

 * Apply best practices for enterprise identity federation and cross-account access.