Palantir Platform Engineer

📋 Job Overview

As a Palantir Platform Engineer, you will play a pivotal role in integrating custom ETL workflows within the Palantir ecosystem. Your responsibilities will include connecting ETL conditioners to Palantir tooling, which enhances observability and accelerates data conditioning efforts. You will ensure that stakeholders maintain comprehensive insight into each phase of the transformation process, leveraging your expertise in data ontology, logging, and monitoring. Utilizing your skills in PySpark and Python, you will design and implement robust data pipelines that support seamless data flow and transformation.

🏢 About Avalore

Avalore is an Equal Opportunity Employer - We do not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

🎯 The Role

In this position, you will also harness AI to augment and optimize data pipelines, driving greater speed and efficiency in processing large datasets. Your focus on data governance and validation will be essential as you prepare products for integration into advanced analytics tools, ensuring data quality and reliability. Experience with DevOps practices will be valuable as you manage deployment and operational aspects of the platform, while your familiarity with Palantir Foundry and ontology modeling will help you navigate complex data environments. Success in this role will be supported by a strong background in building scalable ETL solutions, implementing monitoring frameworks, and collaborating with cross-functional teams to deliver actionable data insights.

✅ Key Responsibilities

• Integrate custom ETL workflows within the Palantir ecosystem
• Connect ETL conditioners to Palantir tooling
• Enhance observability and accelerate data conditioning efforts
• Ensure stakeholders maintain comprehensive insight into data transformation processes
• Design and implement robust data pipelines using PySpark and Python
• Leverage AI to augment and optimize data pipelines
• Focus on data governance and validation
• Prepare products for integration into advanced analytics tools
• Manage deployment and operational aspects of the platform
• Collaborate with cross-functional teams to deliver actionable data insights

📌 Required Qualifications

• Active Security Clearance with appropriate Polygraph
• Experience with Palantir Foundry
• Strong understanding of Ontology and Data Ontology
• Expertise in building and integrating ETL Pipelines
• Proficiency in PySpark and Python
• Experience with Logging and Monitoring solutions
• Knowledge of Data Governance best practices
• Familiarity with DevOps methodologies
• Experience leveraging AI to augment data pipelines
• Strong skills in Validation of data products

⭐ Desirable Experience

• Experience connecting ETL conditioners to Palantir tooling
• Background in increasing observability and accelerating data conditioning
• Experience ensuring end-to-end insight into data transformation processes
• Familiarity with integrating validated products into analytics tools for data exploitation

🎁 Benefits

• Employer Contributions to Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA) with a generous matching program
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development
• Employee Assistance Program

🛂 Visa & Eligibility

• Active Security Clearance with appropriate Polygraph