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Senior AWS IAM & Data Engineer

Lafayette, Louisiana

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Type: Direct-Hire

Experience: 5

Category: Information Technology

Contractor Work Model: Hybrid

Brand: System One

Compensation Range: 102000.00 - 178000.00

Job ID: 380543

Date Posted: 10/06/2026

Shortcut: http://jobs.systemone.com/HSQmR8


Senior AWS IAM & Data Engineer
Job Type: Permanent Full-Time
Hybrid Lafayette, LA | Knoxville, TN | Columbia, SC | Birmingham, AL

Position Overview
We are seeking a Senior AWS IAM & Data Engineer to support enterprise cloud identity services and AWS-based data and analytics capabilities within a large-scale financial services environment.
This role combines hands-on AWS IAM Identity Center expertise with data engineering and reporting responsibilities using AWS services such as Redshift, S3, Glue, Athena, and Lake Formation.
This is a senior-level, hands-on engineering role requiring strong expertise across both AWS identity/access management and AWS data technologies.
Responsibilities

  • Configure and support AWS IAM Identity Center, including identity federation, permission sets, account assignments, account access, and enterprise identity integrations.
  • Support AWS IAM capabilities including roles, policies, trust policies, permission boundaries, least-privilege access, cross-account access, and access troubleshooting.
  • Develop and maintain AWS-based data ingestion, transformation, and reporting workflows.
  • Build and support ETL/data pipelines using AWS services such as Glue, Lambda, Step Functions, and EventBridge.
  • Work with AWS data technologies including Redshift, S3, Glue, Athena, and Lake Formation.
  • Develop SQL queries for data analysis, validation, reporting, and troubleshooting data-quality issues.
  • Automate cloud, IAM, and data workflows using Python and/or Shell scripting.
  • Use Terraform or CloudFormation for AWS infrastructure and configuration automation.
  • Troubleshoot complex identity, cloud, and data-related technical issues.
  • Independently evaluate technical options and develop production-quality code and automation.
  • Collaborate with security, cloud, data, and application engineering teams.
Required Qualifications
  • 5+ years of hands-on experience with AWS IAM Identity Center, including:
    • Permission Sets
    • Account Assignments
    • Account Access
    • Identity Federation
    • Enterprise Identity Integrations
  • Strong hands-on knowledge of AWS IAM, including:
    • IAM Roles
    • IAM Policies
    • Trust Policies
    • Permission Boundaries
    • Least-Privilege Access
    • Cross-Account Access
    • IAM Troubleshooting
  • Hands-on experience with AWS data services including:
    • Amazon Redshift
    • Amazon S3
    • AWS Glue
    • Amazon Athena
    • AWS Lake Formation
  • Experience developing and supporting ETL/data pipelines, data ingestion, transformation, and orchestration.
  • Experience with AWS Glue, Lambda, Step Functions, EventBridge, or similar technologies.
  • Strong SQL skills for querying, analyzing, validating, and troubleshooting datasets.
  • Experience with Python and/or Shell scripting.
  • Experience with Terraform or CloudFormation.
  • Strong understanding of enterprise identity federation and AWS multi-account integration patterns.
  • Ability to independently troubleshoot complex technical problems and build production-quality solutions.
  • Strong communication and collaboration skills.
Preferred Experience
  • Experience working within financial services or another highly regulated enterprise environment.

Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field is required.

#M1
#DI-CB2
#L1 - KB1



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⚠️ Protecting Job Seekers from Identity Scams

At System One, your privacy and security are important to us. As job-related scams continue to target job seekers, we want to help you recognize and avoid common recruitment fraud. Identity theft scams often involve individuals, also known as "scammers," posing as recruiters or employers to obtain sensitive personal information, such as Social Security numbers, bank account details, or copies of driver’s licenses, with the goal of stealing identities, accessing financial accounts, or creating fraudulent accounts in a victim’s name.


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