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. 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. Requirements • Active Security Clearance with appropriate Polygraph • Experience with: • 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 Desired: • 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 Work Environment: • Moderate noise (i.e. business office with computers, phone and 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 employee is required to sit, stand, talk, and hear. • Employee is often required to sit and use their hands and fingers to operate a computer. • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Travel: • Up to 10%/ Occasional travel. Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to [email protected]. Avalore is an Equal Opportunity Employer - We 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. Benefits Eligibility requirements apply. • 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 • Salary 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.