

Ascii Group, LLC
Data Engineer with Palantir Foundry - W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Palantir Foundry in San Francisco, CA, for 12 months at $64/hr on W2. Key skills include AWS, Terraform, and data pipeline management. Relevant experience in cloud infrastructure and data governance is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
512
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🗓️ - Date
July 8, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Data Lake #Datadog #Data Governance #Monitoring #Terraform #Security #Lambda (AWS Lambda) #Compliance #Data Storage #Scala #S3 (Amazon Simple Storage Service) #Data Engineering #Batch #AWS (Amazon Web Services) #Data Pipeline #Palantir Foundry #RDS (Amazon Relational Database Service) #Redshift #Prometheus #VPC (Virtual Private Cloud) #Storage #Logging #Automation #Athena #Infrastructure as Code (IaC) #Deployment #Grafana #Observability #Cloud #IAM (Identity and Access Management)
Role description
Hi,
The following requirement is open with our client.
Title : Data Engineer with Palantir Foundry
Location : San Francisco, CA - Onsite
Duration : 12 Months
Rate :$64/hr on W2
Position : W2 Position
Relevant Experience (in Yrs.):
Detailed Job Description:
Hands on Exp in Palantir Foundry and AWS Kendra
Cloud Infrastructure & Data Platform Management
• Design, implement, and manage AWS-based data infrastructure using services such as S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, and RDS
• Build and maintain scalable, fault-tolerant data pipelines supporting both batch and streaming workloads
• Support data lake architectures and analytics platforms for enterprise use cases
Infrastructure as Code & Automation
• Implement Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation
• Automate infrastructure provisioning, deployments, and operational tasks via CI/CD pipelines
• Continuously improve platform efficiency through automation and standardization
Performance Optimization & Cost Management
• Optimize data storage, compute resources, and query performance to improve cost efficiency
• Monitor and tune workloads for high availability, scalability, and performance
Security, Governance & Compliance
• Ensure robust cloud security practices including IAM, encryption, VPC configurations, and secure access controls
• Implement logging, auditing, and compliance frameworks aligned with enterprise policies
• Enforce data governance and access control standards across platforms
Monitoring & Observability
• Design and implement monitoring, alerting, and observability frameworks for data platforms
• Integrate tools such as CloudWatch, Datadog, Prometheus, and Grafana
• Develop dashboards, alerts, and SLIs/SLOs to ensure system reliability and performance
Hi,
The following requirement is open with our client.
Title : Data Engineer with Palantir Foundry
Location : San Francisco, CA - Onsite
Duration : 12 Months
Rate :$64/hr on W2
Position : W2 Position
Relevant Experience (in Yrs.):
Detailed Job Description:
Hands on Exp in Palantir Foundry and AWS Kendra
Cloud Infrastructure & Data Platform Management
• Design, implement, and manage AWS-based data infrastructure using services such as S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, and RDS
• Build and maintain scalable, fault-tolerant data pipelines supporting both batch and streaming workloads
• Support data lake architectures and analytics platforms for enterprise use cases
Infrastructure as Code & Automation
• Implement Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation
• Automate infrastructure provisioning, deployments, and operational tasks via CI/CD pipelines
• Continuously improve platform efficiency through automation and standardization
Performance Optimization & Cost Management
• Optimize data storage, compute resources, and query performance to improve cost efficiency
• Monitor and tune workloads for high availability, scalability, and performance
Security, Governance & Compliance
• Ensure robust cloud security practices including IAM, encryption, VPC configurations, and secure access controls
• Implement logging, auditing, and compliance frameworks aligned with enterprise policies
• Enforce data governance and access control standards across platforms
Monitoring & Observability
• Design and implement monitoring, alerting, and observability frameworks for data platforms
• Integrate tools such as CloudWatch, Datadog, Prometheus, and Grafana
• Develop dashboards, alerts, and SLIs/SLOs to ensure system reliability and performance






