AWS Data Engineer (W2 Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer with 10+ years of experience, focusing on AWS tools and technologies. It is a 12+ month remote contract, requiring expertise in AWS Glue, Python, SQL, and strong knowledge of data pipeline design. AWS Certification preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 26, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Lambda (AWS Lambda) #Scripting #Batch #IAM (Identity and Access Management) #GIT #SQL (Structured Query Language) #Pytest #Snowflake #Jenkins #Docker #Airflow #AWS (Amazon Web Services) #Unit Testing #Shell Scripting #Pandas #Flask #S3 (Amazon Simple Storage Service) #Redshift #AWS Lambda #Kafka (Apache Kafka) #JavaScript #Python #AWS Glue #NumPy #Data Engineering
Role description
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Position: Sr. Data Engineer
Location: Remote 100% (Need candidates Local to DMV area)
Duration: 12+ Months (Long-Term Contract)
Experience: 10+ Years
Job Description
• Experience with tools like AWS Glue, Step Functions, Airflow, or cron jobs; ability to handle batch and streaming data.
• Experience with AWS Lambda, ECS, Fargate, S3, and IAM; understanding of cost optimization and containerization using Docker.
• Usage of Snowflake, SingleStore, Redshift, Kafka, Glue, and ability to design low-latency pipelines.
• Strong command over Python (Pandas, NumPy, Flask), SQL, and optionally JavaScript or Shell scripting. Use of unit testing frameworks like Pytest is a bonus.
• Understanding of IAM policies, role-based access control, Snyk/code scanning, and CI/CD practices with Git, Jenkins, or similar tools.
• AWS Certification preferred
