

Ascii Group, LLC
Senior AWS Data Engineer - W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AWS Data Engineer (W2 Only) with a contract length of unspecified duration, offering $70-72/hr. Located in a hybrid model, it requires 10+ years of experience, expertise in AWS services, Python, and data lake architectures.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
576
-
🗓️ - Date
July 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Indexing #CRM (Customer Relationship Management) #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Python #IAM (Identity and Access Management) #Athena #SQS (Simple Queue Service) #Airflow #Scala #Redshift #AWS (Amazon Web Services) #Data Engineering #Debugging #Data Lake #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #Storage #Business Analysis #Monitoring #Complex Queries #Data Pipeline #ML (Machine Learning) #DynamoDB #Cloud #Schema Design #Data Quality
Role description
Hi,
The following requirement is open with our client.
Title : Senior AWS Data Engineer
Location : Near By your Location in Infosys (Hybrid)
Rate : $70-72/Hr on W2 (USC)
Relevant Experience : 10+
Job Description:
You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.
Key Responsibilities
• 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
Thanks & Regards
Arun Kumar
Technical Recruiter
ASCII Group, LLC
Mobile: 408-850-1240
Email: rec39@asciigroup.com
https://www.linkedin.com/in/arun-kumar-potula-a31a99225/
Hi,
The following requirement is open with our client.
Title : Senior AWS Data Engineer
Location : Near By your Location in Infosys (Hybrid)
Rate : $70-72/Hr on W2 (USC)
Relevant Experience : 10+
Job Description:
You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.
Key Responsibilities
• 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
Thanks & Regards
Arun Kumar
Technical Recruiter
ASCII Group, LLC
Mobile: 408-850-1240
Email: rec39@asciigroup.com
https://www.linkedin.com/in/arun-kumar-potula-a31a99225/






