Job Title: Sr. AWS Engineer (Final round will be a face-to-face interview) Location: Prefer Reston, VA / Plano, TX (Hybrid, 3 days in office/2 days remote) Job Type: Long-term contract / Contract to Hire (Potential for conversion to FTE) Key Responsibilities: • Design, build, and maintain scalable, secure, and efficient data pipelines using AWS services such as Glue, Lambda, Step Functions, S3, Redshift, EMR, and Data Pipeline. • Develop robust Python scripts for data ingestion, transformation, and automation. • Write and optimize complex SQL queries for ETL and analytics workflows. • Operate in Unix/Linux environments for scripting, automation, and system-level data operations. • Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives) and contribute to the iterative delivery of data solutions. • Collaborate with cross-functional teams to gather requirements and translate them into high-level architecture and design documents. • Communicate technical concepts clearly through documentation, presentations, and stakeholder meetings. • Implement monitoring, logging, and alerting for data pipelines to ensure reliability and performance. • Apply DevOps best practices using GitHub, Terraform, and CloudFormation for infrastructure automation and CI/CD. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 10+ years’ experience across the appropriate platform specific to cyber, compliance, and DLP. • 8+ years of experience in data engineering or a similar role. • Strong hands-on experience with AWS data services (e.g., EMR, Glue, Lambda, Step Functions, S3, Redshift). • Advanced proficiency in Python for scripting and automation. • Solid experience with Unix/Linux shell scripting. • Strong command of SQL and experience with relational databases. • Proficiency with GitHub for version control and collaboration. • Experience with Terraform and/or AWS CloudFormation for infrastructure-as-code. • Experience working in Agile/Scrum environments. • Excellent verbal and written communication skills. • Proven ability to contribute to high-level solution design and architecture discussions. • AWS Certification (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect, or equivalent). Preferred Qualifications: • Exposure to machine learning pipelines or data science workflows. • Experience with data governance, security, and compliance best practices. • Drive strategy and execution of Data Loss Prevention (DLP) Program and/or other relevant FM InfoSec programs in collaboration with a wide range of stakeholders. • Provide DLP input on the design and configuration of security controls across multiple capabilities, including firewall, proxy, endpoint, and messaging. • Assess and influence risk-based prioritizations for DLP and other security controls. • Advise on and assist with security, data, and technology initiatives that impact the entire organization. Education/Work Experience: • Bachelor's degree in Computer Science, Information Systems, or related field • Professional certification(s) desired, 10+ years’ experience across the appropriate platform specific to cyber, compliance, and DLP. Solid IT background and experience. Experience as an application developer for projects similar in scope and responsibility