Zillion Technologies, Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 7+ years of experience, focusing on AWS big data analytics. It offers a hybrid work location in St. Louis, MO, with a pay rate of "unknown" for a contract length of "unknown." Key skills include Python, R, AWS services, and DevOps practices. U.S. Citizenship is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Scala #Infrastructure as Code (IaC) #Redshift #ECR (Elastic Container Registery) #R #Big Data #DevOps #Security #Linux #Terraform #Data Engineering #Data Science #Data Architecture #SageMaker #Data Pipeline #Cloud #Lambda (AWS Lambda) #Hadoop #Spark (Apache Spark) #Python #Visualization #Agile #Ansible
Role description
Data Engineer – AWS Big Data Analytics
U.S. Citizenship required due to Clearance Requirements
Position Description
We’re seeking an experienced Data Engineer to help design and build a cloud-native big data analytics platform on AWS. You’ll work in an agile engineering team alongside data scientists and engineers to develop scalable data pipelines, analytics, and visualization capabilities.
Key Highlights:
• Build and enhance data pipelines and analytics using Python, R, and AWS services (Glue, Lambda, Redshift, EMR, QuickSight, SageMaker)
• Design and support big data solutions leveraging Spark, Hadoop, and Redshift
• Apply DevOps and Infrastructure as Code practices (Terraform, Ansible, AWS CDK)
• Collaborate cross-functionally to align data architecture with business goals
• Support security, quality, and operational excellence initiatives
Requirements:
• 7+ years of data engineering experience
• Strong AWS cloud and big data background
• Experience with containerization (EKS/ECR), APIs, and Linux
Location: Hybrid in St. Louis, MO area (onsite 2–3 days/week preferred; periodic onsite for non-local candidates)
Data Engineer – AWS Big Data Analytics
U.S. Citizenship required due to Clearance Requirements
Position Description
We’re seeking an experienced Data Engineer to help design and build a cloud-native big data analytics platform on AWS. You’ll work in an agile engineering team alongside data scientists and engineers to develop scalable data pipelines, analytics, and visualization capabilities.
Key Highlights:
• Build and enhance data pipelines and analytics using Python, R, and AWS services (Glue, Lambda, Redshift, EMR, QuickSight, SageMaker)
• Design and support big data solutions leveraging Spark, Hadoop, and Redshift
• Apply DevOps and Infrastructure as Code practices (Terraform, Ansible, AWS CDK)
• Collaborate cross-functionally to align data architecture with business goals
• Support security, quality, and operational excellence initiatives
Requirements:
• 7+ years of data engineering experience
• Strong AWS cloud and big data background
• Experience with containerization (EKS/ECR), APIs, and Linux
Location: Hybrid in St. Louis, MO area (onsite 2–3 days/week preferred; periodic onsite for non-local candidates)
