Data Engineer

PROLIM Global Corporation

Los Angeles, CA, United States

4 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

JavaScript (Programming Language) Amazon Web Services Microsoft Azure Computer Programming Databases Information Engineering Data Governance Extract Transform Load (ETL) Data Security Python (Programming Language) Software Engineering SQL Databases

+7 more

TypeScript Scripting Pyspark Information Technology Data Management Artificial Intelligence Markup Language (AIML) Data Pipelines

Requirements

Python, PySpark, and SQL , Strong data engineering background (ETL / ELT concepts), Foundry certifications

5-10 years overall, with strong Palantir Foundry experience

Must Have Technical/Functional Skills Design, develop, and maintain data pipelines using Palantir Foundry (Pipeline Builder, Code Workbooks).

Build and manage Palantir Ontologies (Object Types, Link Types, Properties) to enable semantic and business-friendly data access.

Ingest, transform, validate, and enrich data from multiple enterprise and external sources.

Implement scalable data transformations using Python, PySpark, and SQL.

Ensure data quality, lineage, governance, reliability, and performance across pipelines.

Collaborate with business stakeholders, data scientists, and platform teams to translate business needs into technical solutions.

Support analytics, operational dashboards, and downstream AIML use cases.

Monitor, troubleshoot, and optimize existing Foundry assets and pipelines.

Contribute to Agile delivery, documentation, and knowledge sharing.

Experience Required Preferred Nice-to-Have

Experience with Palantir AIP and AIML-enabled use cases.

Knowledge of TypeScript JavaScript for Foundry applications.

Experience with cloud platforms (Azure, AWS, or GCP).

Palantir Foundry certification.

Prior experience in utilities, energy, public sector, or large regulated enterprises.

Roles & Responsibilities

Generic Managerial Skills

Education Bachelors degree in Computer Science, Engineering, Mathematics, or equivalent

referred Nice-to-experience.

5 years of experience in data engineering or data-intensive application development.

Hands-on experience with Palantir Foundry, including ontology modeling and pipeline development.

Strong programming skills in Python with solid experience in SQL and PySpark.

Strong understanding of data modeling, ETLELT concepts, and data governance.

Excellent analytical, problem-solving, and communication skills.

Skills: Analysis Skills, Communication Skills, Computer Programming, Computer Science, Data Management, Data Modeling, Data Quality, Data Science, Database Extract Transform and Load (ETL), Energy & Utilities, Government, Mathematics, Ontology, Operational Audit, Operational Support, Problem Solving Skills, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Software Development, Software Engineering, Technical/Engineering Design, Use Cases