Palantir Platform Engineer

Job DescriptionJob DescriptionAs 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.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.RequirementsActive Security Clearance with appropriate PolygraphExperience with:Experience with Palantir FoundryStrong understanding of Ontology and Data OntologyExpertise in building and integrating ETL PipelinesProficiency in PySpark and PythonExperience with Logging and Monitoring solutionsKnowledge of Data Governance best practicesFamiliarity with DevOps methodologiesExperience leveraging AI to augment data pipelinesStrong skills in Validation of data productsDesired:Experience connecting ETL conditioners to Palantir toolingBackground in increasing observability and accelerating data conditioningExperience ensuring end-to-end insight into data transformation processesFamiliarity with integrating validated products into analytics tools for data exploitationWork Environment:Moderate noise (i.e.business office with computers,phoneand printers) and /or occasional Loud noise (airfield, large equipment).Ability to sit at a computer terminal for an extended period of time.Physical Demands:While performing the responsibilities of the job, the employeeis required tosit, stand, talk, andhear.Employee isoften required to sit and use their hands and fingers tooperatea computer.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Travel:Up to 10%/ Occasionaltravel.Avalore will provide reasonable accommodations to applicants who are unable toutilizeour online application system due to a disability. Please send your request View email address on click.appcast.io is an Equal Opportunity Employer - Wenot discriminatebased on age, race, national or ethnic origin, gender,veteransstatus, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.BenefitsEligibility requirements apply.Employer Contributions to Health Care Plan (Medical, Dental & Vision)Retirement Plan (401k, IRA) with a generous matching programLife Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Short Term & Long Term DisabilityTraining & DevelopmentEmployee Assistance ProgramSalary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.