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Python AWS developer/ data engineer (Only on W2/1099, US independent visa candidates only)

FervorlyUnited States🇺🇸United StatesPosted 24 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your Python and AWS expertise in building impactful data engineering solutions, fostering significant career growth within a reputable tech company. You'll thrive here if you possess strong Python programming skills, experience with production-grade data solutions, and a solid understanding of AWS services, making this an exciting step for your professional journey.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
3 days ago
DockerMySQLSQLAWSETLMachine LearningScrumAgileAirflowApacheCloudFormationGitKafkaPostgreSQLPythonRedshiftTerraform

Job Description

Need independent visa candidates who can work on W2/1099.

 

Required Technical Skills 

Programming 

  • Strong Python programming skills.  
  • Experience building production-grade data engineering solutions.  
  • Knowledge of object-oriented design, testing, and clean coding practices.  

AWS 

Hands-on experience with several of the following: 

  • S3  
  • Glue  
  • Lambda  
  • EMR  
  • Athena  
  • Redshift  
  • RDS  
  • Step Functions  
  • EventBridge  
  • CloudWatch  
  • IAM  
  • ECS/EKS (preferred)  

Data Engineering 

  • ETL/ELT pipeline development  
  • Data warehousing concepts  
  • Batch and streaming data processing  
  • Data modeling  
  • Data validation and quality frameworks  
  • Metadata and lineage concepts  

Databases 

  • Advanced SQL  
  • PostgreSQL  
  • MySQL  
  • Redshift  
  • Performance tuning and query optimization  

Development Practices 

  • Git  
  • CI/CD pipelines  
  • Unit testing  
  • Docker  
  • Agile/Scrum development  

 

Preferred Skills 

  • Apache Spark or PySpark  
  • Kafka or Kinesis  
  • Airflow or AWS Managed Workflows  
  • Infrastructure as Code (Terraform or CloudFormation)  
  • Data Lake architecture  
  • Lakehouse concepts  
  • Experience supporting Machine Learning data pipelines  
  • Experience with observability and monitoring tools  

 

Desired Experience 

  • 6–10 years of experience in Data Engineering.  
  • Experience building cloud-native data platforms on AWS.  
  • Experience handling large-scale structured and semi-structured datasets.  
  • Strong understanding of distributed data processing and performance optimization.  
  • Experience working in enterprise production environments with high availability requirements. 

 

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