Full Time Palantir Data Engineer

Job TitleSenior Palantir Data EngineerLocationOpen to 3 days onsite in Dallas, TexasDurationFull-TimeVisaUS Citizen or Green CardSkills: Data Engineer, Python, SQL, ETL, Palantir Foundry, Pyspark, Pandas Our Dallas based client is seeking a Senior Data Engineer, to be a key technical leader responsible for designing, building, and owning scalable, reliable, and well-governed data solutions that enable enterprise analytics and decision-making. This role operates at the intersection of data engineering, analytics enablement, and governance. The Senior Data Engineer will own complex data pipelines and curated data products, and will partner closely with analytics and business stakeholders, and set technical standards that improve data quality, usability, and trust across the organization. The Senior Data Engineer will be comfortable operating with ambiguity, will be able to independently own data domains end-to-end, and will serve as a mentor and force multiplier within the data engineering team.Job ResponsibilitiesData Engineering & Platform OwnershipDesign, build, and own end-to-end ETL/ELT pipelines across diverse data sources using Palantir Foundry, PySpark, pandas, and SQLArchitect scalable, resilient data integration solutions supporting analytics, reporting, and operational use casesOwn ingestion, transformation, validation, and monitoring workflows to ensure data accuracy, availability, and performanceManage and optimize data lake and warehouse environments within a cloud-based SaaS ecosystemEstablish and maintain integrations with enterprise systems and external platforms (e.g., ERP, CRM, advertising platforms)Troubleshoot complex data issues, perform root-cause analysis, and implement long-term fixesAnalytics Enablement and Data ApplicationsDevelop analytics-ready datasets and curated data products that enable self-service reporting and analysisBuild and maintain custom analytics applications using Palantir Foundry Workshop and backend tools (Pipeline Builder, PySpark, pandas)Partner with business analysts, analytics consumers, and department leaders to translate commercial and operational questions into scalable data solutionsAutomate reporting and dashboarding workflows to reduce manual effort and improve data accessibilityEnable advanced analytical use cases by delivering feature-ready datasets (e.g., for forecasting, trend analysis, or anomaly direction), without owning full data science model lifecycle unless explicitly requiredData Governance, Standards, and SecuritySupport and enhance data governance frameworks that improve data quality, consistency, security, and complianceCollaborate with stakeholders to define and enforce data standards, naming conventions, and access policiesEnhance and maintain role-based access controls (RBAC) in partnership with IT and security teamsContribute to medallion architecture design, data modeling standards, and metadata and/or documentation practicesTechnical Leadership and MentorshipServe as a senior technical resource for the team, providing design guidance, code reviews, and architectural inputMentor junior and mid-level engineers through structure feedback, documentation standards, and modeling best practicesSet and reinforce expectations for maintainability, reliability, and clarity in data engineering workParticipate in design reviews and help establish long-term technical direction for the data platformDocumentation and Continuous ImprovementBuild and maintain clear, comprehensive technical documentation for pipelines, data products, and integrationsIdentify opportunities to improve tooling, methodologies, and development workflowsStay current on data engineering and analytics best practices and selectively introduce improvements that add real valueAll other duties as assignedJob RequirementsBachelor's degree in information technology, computer science, or a related field (or equivalent experience)5+ years of progressive experience in data analytics, analytics engineering, or business intelligence rolesMust have intermediate experience with Microsoft Office products to include Word, Excel, PowerPoint, and OutlookMust have strong hands-on experience with Palantir Foundry, including Pipeline Builder and WorkshopMust have advanced proficiency in PySpark and SQL for large-scale data transformationMust have strong Python skills (pandas, familiarity with polars is a plus)Must have a solid understanding of data modeling and medallion architectureMust have experience integrating data from ERP, CRM, POS, or similar enterprise systemsMust have experience implementing or supporting data governance and access control modelsMust have proficiency with Git-based version control and collaborative development workflowsMust have the ability to operate independently, manage ambiguity, and own outcomesDetail oriented with excellent time management and follow up skillsMust have strong communication skills with experience engaging both technical peers and business stakeholdersExperience integrating with Meta Ads, Google Ads, or other marketing platforms preferredPalantir certifications preferredIndustry experience in maritime, real estate, hospitality, or asset-heavy, multi-unit operating environments preferredExperience supporting analytics in finance, operations, or revenue management contexts preferred

Created: 2026-05-13