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