Role : Sr. AWS Engineer

Rate: $65/Hr

Location: Reston,VA

Prefer Reston, but Plano is an option as well

Hybrid: 3 days a week

Initially it is for 6 months period and will be made permanent if the performance is good.

Interview: in-person

Description:

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 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.

• 3+ 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