Palantir Data Engineering / Forward Deployed Engineer (FDE)

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 84,000 - 120,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Atlanta, GA seeks a Palantir Data Engineer / Forward Deployed Engineer for an 8-month contract. The role supports data ingestion, transformation, and product development with a focus on Palantir Foundry and AI-enabled use cases.

Ideal candidates have strong data engineering experience and familiarity with modern data platforms such as Databricks and Redshift; US work authorization is required for W-2/1099/C2C engagements.

Qualifications

• Palantir/AIP skill sets; Foundry experience a plus.
• Strong data engineering background with data ingestion, transformation and integration.
• Experience translating business requirements into working data applications.
• Experience with AI-enabled use cases is a plus.

Responsibilities

• Palantir/Foundry data engineering tasks and FDE activities.
• Ingest, transform, and integrate data; develop data products.
• Collaborate with business teams to translate requirements into solutions.
• Work with AI-enabled use cases and modern data platforms (Databricks/Redshift).

Skills

Palantir Foundry

AIP

Data engineering

Forward Deployed Engineer

Tools

Databricks

Redshift

Job description

Job Overview

Job Title: Palantir Data Engineering / Forward Deployed Engineer (FDE)

Location: Atlanta, GA

Duration: 8 Months + Extension

Domain Exposure: Insurance

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job ID: J54877

Bill Rate: $74/hour (C2C)

Job Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Responsibilities

• Palantir/AIP skill sets, Foundry experience will be a plus


• Strong Data Engineering experience, FDE experience will be a plus


• Data ingestion, transformation, integration, and data product development


• Ability to work directly with business teams and translate requirements into working applications/solutions


• Experience with AI-enabled use cases/applications


• Databricks, Redshift, or similar modern data-platform experience is a plus

Equal Opportunity Statement

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.