Palantir AIP Data Engineer — Forward Deployed

Ethereum Technologies; Atlanta (GA); On-site; USD 92,000 - 131,000; Full time

Job summary

Ethereum Technologies in Atlanta, GA is seeking an experienced Palantir Data Engineer / Forward Deployed Engineer to design and implement data engineering solutions using Palantir AIP and related platforms. The role involves working directly with business teams to translate requirements into practical data-driven applications.

You will ingest, transform, and integrate data from multiple sources, build scalable data products, and develop AI-enabled solutions that support enterprise initiatives.

Qualifications

• Extensive hands-on data engineering experience.
• Experience with Palantir AIP platform.
• Experience data ingestion, transformation and integration.
• Proven ability to develop and maintain data products.
• Ability to translate business requirements into technical solutions.
• Experience with AI-enabled use cases and applications.

Responsibilities

• Develop data engineering solutions using Palantir AIP and related technologies.
• Ingest, transform, and integrate data from multiple sources.
• Design, develop, and maintain scalable data products.
• Build AI-enabled applications and business solutions.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Develop and support data-driven applications and workflows.
• Collaborate with engineering and business teams to deliver solutions.
• Leverage modern data platforms to support enterprise data initiatives.

Skills

Palantir AIP

Data engineering

Data ingestion

Data transformation

Data integration

AI-enabled applications

Job description

Ethereum Technologies in Atlanta, GA is seeking an experienced Palantir Data Engineer / Forward Deployed Engineer to design and implement data engineering solutions using Palantir AIP and related platforms. The role involves working directly with business teams to translate requirements into practical data-driven applications.

You will ingest, transform, and integrate data from multiple sources, build scalable data products, and develop AI-enabled solutions that support enterprise initiatives.