Arbor TekSystems
Data Engineer with AWS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with AWS expertise, offering a 12-month remote contract at a W2 pay rate. Requires 5+ years in data engineering, proficiency in Python and SQL, and aviation industry experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Redshift #Python #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Jenkins #Observability #Data Integration #Terraform #Cloud #Automation #Data Engineering #Computer Science #Shell Scripting #Scripting #Deployment #Scala #Programming #Automated Testing #AWS Glue #Lambda (AWS Lambda) #Data Quality #Monitoring #Data Pipeline
Role description
Role: AWS Data Engineer
Location: Remote
Job Type: Contract
Duration: 12 months with possible extension
Only W2
Aviation indsutry experience is prefrred.
Role Summary:
The AWS Engineer will build and maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will focus on implementing CI/CD pipelines, automated testing, and monitoring solutions.
Key Responsibilities:
Data Pipelines:
Develop configuration-driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift.
Automation:
Implement CI/CD pipelines for automated build, test, and deployment of data products.
Testing:
Establish automated test frameworks for schema validation, data quality, and performance testing.
Monitoring:
Set up monitoring and observability dashboards for product-level metrics (CloudWatch, custom metrics).
Collaboration:
Work with data modelers and architects to ensure alignment with business requirements.
Required Skills:
Programming:
Proficiency in Python, SQL, and shell scripting.
AWS Expertise:
Hands-on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch).
Automation:
Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline).
Data Integration:
Strong knowledge of ETL/ELT processes and frameworks.
Soft Skills:
Strong problem-solving, collaboration, and communication skills.
Qualifications:
Bachelor’s degree in computer science, Data Engineering, or related field.
5+ years of experience in data engineering and pipeline development.
AWS Certified Data Analytics or AWS Certified Developer is a plus.
Role: AWS Data Engineer
Location: Remote
Job Type: Contract
Duration: 12 months with possible extension
Only W2
Aviation indsutry experience is prefrred.
Role Summary:
The AWS Engineer will build and maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will focus on implementing CI/CD pipelines, automated testing, and monitoring solutions.
Key Responsibilities:
Data Pipelines:
Develop configuration-driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift.
Automation:
Implement CI/CD pipelines for automated build, test, and deployment of data products.
Testing:
Establish automated test frameworks for schema validation, data quality, and performance testing.
Monitoring:
Set up monitoring and observability dashboards for product-level metrics (CloudWatch, custom metrics).
Collaboration:
Work with data modelers and architects to ensure alignment with business requirements.
Required Skills:
Programming:
Proficiency in Python, SQL, and shell scripting.
AWS Expertise:
Hands-on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch).
Automation:
Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline).
Data Integration:
Strong knowledge of ETL/ELT processes and frameworks.
Soft Skills:
Strong problem-solving, collaboration, and communication skills.
Qualifications:
Bachelor’s degree in computer science, Data Engineering, or related field.
5+ years of experience in data engineering and pipeline development.
AWS Certified Data Analytics or AWS Certified Developer is a plus.
