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Salary
$32k – $74k per year
Location
Remote (India)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 22, 2026. Weekday scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.
Backed by Y Combinator

This role is for one of Weekday’s clients

Salary range: Rs 3000000 - Rs 7000000 (ie INR 30 - 70 LPA)

Experience: 3+ years of relevant experience (hands-on Palantir Foundry experience preferred)

Employment: Full-time / Contract

Work Model: Remote

We are looking for an experienced Palantir Foundry Engineer to design, develop, and maintain scalable data engineering solutions, enterprise applications, and AI-enabled workflows using Palantir Foundry. The ideal candidate will have hands-on experience building data pipelines, integrating multiple data sources, developing Foundry Ontologies, and translating complex business requirements into reliable, production-ready solutions.

Requirements

Key Responsibilities

- Design, build, and maintain scalable data pipelines and data transformation workflows using Palantir Foundry.

- Develop data ingestion and integration solutions connecting databases, APIs, cloud platforms, and enterprise applications. - Write and optimize data transformations using Python, SQL, PySpark, or Spark.

- Design and maintain Palantir Foundry Ontologies, including objects, relationships, actions, and functions.

- Build operational applications, dashboards, and business workflows using Foundry Workshop and relevant application development tools.

- Integrate AI/ML capabilities and LLM-powered workflows using Palantir AIP, where applicable.

- Implement data quality checks, validation, monitoring, access controls, and governance practices.

- Troubleshoot pipeline failures, data inconsistencies, and application performance issues.

- Collaborate with data engineers, software engineers, architects, and business stakeholders to deliver end-to-end solutions. - Maintain technical documentation, version control, testing standards, and production deployment processes.

Required Skills & Qualifications

- Hands-on experience with Palantir Foundry in a development or implementation role.

- Strong programming skills in Python and SQL.

- Experience building data pipelines and performing complex data transformations.

- Knowledge of PySpark/Spark and large-scale data processing.

- Practical understanding of Foundry Ontology, including data modeling, objects, links, actions, and functions.

- Experience with data integration, APIs, relational databases, and structured or unstructured data. - Understanding of data quality, testing, troubleshooting, and production support.

- Strong analytical and problem-solving skills.

Preferred Qualifications

- Experience with Palantir AIP, LLM integration, AI agents, or AI-powered enterprise workflows.

- Exposure to AWS, Azure, or Google Cloud Platform. - Experience with Foundry Workshop, Code Repositories, Pipeline Builder, and Ontology Manager.

- Familiarity with TypeScript, React, REST APIs, CI/CD, and software development best practices.

- Experience delivering enterprise data or AI solutions in production environments.

Ideal Candidate:

A hands-on engineer who understands both data engineering fundamentals and the Palantir Foundry ecosystem, with the ability to independently build, troubleshoot, and deploy production-ready solutions.

Application Requirement:

Candidates should clearly mention their hands-on Palantir Foundry experience, relevant projects, technical skills, notice period, and availability.

Must-have skills

Palantir Foundry, Python, SQL

Good-to-have skills

Palantir AIP, LLM integration, AI agents

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