Senior AWS Data Engineer - W2 only

Ascii Group, LLC is seeking a Senior AWS Data Engineer to design and build scalable data pipelines on AWS. The role involves integrating multiple data sources into a unified analytics platform and collaborating with business analysts to meet reporting needs.

Responsibilities:

• Architect and implement cloud-native data pipelines on AWS
• Build serverless compute layers using Lambda, Step Functions, and Airflow
• Design data lake storage strategies using S3, Glue, Athena, and Redshift
• Integrate real-time data streams via Kinesis and SQS
• Collaborate with business analysts to translate reporting requirements into schema and pipeline design
• Own data quality, pipeline monitoring, and alerting via CloudWatch
• Lead schema design for Athena and Postgres tables — DDL, partitioning, indexing
• Evaluate and integrate AI/ML services — Bedrock, Comprehend, Transcribe
• Document architecture decisions and maintain runbook

Requirements:

• 10+ years of relevant experience
• 5+ years AWS data engineering experience
• Expert Python — data transformation, boto3, async processing
• Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, Event Bridge, DynamoDB, Glue, Athena, Redshift
• Airflow — production DAG development and debugging
• SQL — complex queries, window functions, partitioning, performance tuning
• IAM — roles, policies, cross-account access, permissions boundaries
• Experience designing event-driven, serverless architectures at scale
• Strong understanding of data lake patterns — partitioning, file formats, crawlers
• Architect and implement cloud-native data pipelines on AWS
• Build serverless compute layers using Lambda, Step Functions, and Airflow
• Design data lake storage strategies using S3, Glue, Athena, and Redshift
• Integrate real-time data streams via Kinesis and SQS
• Collaborate with business analysts to translate reporting requirements into schema and pipeline design
• Own data quality, pipeline monitoring, and alerting via CloudWatch
• Lead schema design for Athena and Postgres tables — DDL, partitioning, indexing
• Evaluate and integrate AI/ML services — Bedrock, Comprehend, Transcribe
• Document architecture decisions and maintain runbook
• Must-Have Skills: Senior AWS Data Engineer, AWS AI Expert, Python, Data Lake, Serverless Architectures