Palantir Data Engineer

EXL; Jersey City (NJ); On-site; USD 100,000 - 140,000; Full time

Job summary

EXL in New Jersey is seeking a seasoned Data Engineer with 3–7 years of data engineering experience to design scalable data solutions and build robust data pipelines. The role focuses on modeling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry, with cloud platforms and distributed systems as core competencies.

Insurance domain experience is a plus. The position offers base compensation aligned with a nationwide scale and emphasizes a strong data-centric,

Qualifications

• 3–7 years of data engineering experience.
• Hands-on Palantir Foundry/AIP experience.
• Experience with cloud platforms and distributed systems.
• Insurance domain experience a plus.

Responsibilities

• Design scalable data solutions.
• Build robust data pipelines.
• Model enterprise datasets for analytics and AI/ML use cases.
• Enable analytics and AI/ML use cases on Palantir Foundry.

Skills

Data engineering

Palantir Foundry/AIP

Cloud platforms

Distributed systems

Insurance domain (plus)

Job description

We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP.

The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Base Compensation Range: 100,000 - 140,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.