AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 8+ years of data engineering experience, focusing on AWS services like S3, Glue, and Redshift. Requires strong Python skills, SQL expertise, and familiarity with CI/CD pipelines. Professional certification is desired. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#SNS (Simple Notification Service) #Data Modeling #SQL (Structured Query Language) #Data Engineering #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #AWS EMR (Amazon Elastic MapReduce) #RDS (Amazon Relational Database Service) #SQS (Simple Queue Service) #GitLab #Redshift #Microsoft Power BI #BI (Business Intelligence) #Airflow #AWS Glue #Spark (Apache Spark) #Cloud #Data Analysis #Lambda (AWS Lambda) #Python
Role description
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8+ years of Data Engineering experience
Data Engineering and insight experience.
Experience in building and deploying applications in AWS using services like (S3, Glue, Redshift, RDS, AWS EMR, CloudWatch, Lambda, State Machine, SNS, SQS, ECS, AppFlow, etc.).
SQL and Data Analysis.
Exp with APIs, RESTful services.
Strong Python experience. Strong exp building CI/CD pipelines on AWS (CloudFormation and Gitlab). Fannie Mae Institutional knowledge.strong SQL, data modeling, and tools like Spark / Hive / Airflow. Professional certification(s) desired, 5-10 years relevant experience.
Skilled in leveraging S3, Redshift, AWS Glue, EMR, and Power BI to deliver secure, high-performance solutions and self-service BI ecosystems.
#LI-CGTS
#TS-0942
