AWS Data Engineer

KMM Technologies • Reston, VA

21h • Hybrid

About The Position

We are seeking an experienced AWS Data Engineer with over 10 years of experience in AWS data engineering, ETL/ELT pipelines, and cloud-native data processing. The role involves building and maintaining data pipelines, integrating data from various sources, and ensuring data quality and reliability. This position requires proficiency in a range of AWS data services and scripting languages, as well as experience with distributed data processing frameworks. The ideal candidate will also have exposure to Agile methodologies and strong communication skills.

Requirements

• 10+ years of experience with AWS data engineering, ETL/ELT pipelines, and cloud-native data processing.
• Proficiency in AWS Data Services (Glue [PySpark], Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, IAM).
• Experience with distributed data processing (Spark / PySpark).
• Familiarity with monitoring and logging tools (CloudWatch, Splunk).
• Experience working with COTS or enterprise platforms as data sources.
• Exposure to Agile methodology.
• Good communication, documentation, and teamwork skills.
• Ability to support off-hours production releases and provide on-call support for critical data pipelines.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.

Nice To Haves

• Relevant professional certifications

Responsibilities

• Build and maintain ETL/ELT data pipelines using AWS Glue, PySpark, Lambda, and orchestration frameworks.
• Perform ETL transformations, automation, and data quality checks using Python scripting.
• Integrate data from APIs, AWS services, and external systems.
• Support off-hours production releases and provide on-call support for critical data pipelines.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior