Salesforce Developer

Loans Metadata Dashboard Timelines Operations Governance Databricks Ontologies Data Quality Data Science Communication Data Modeling Product Design Data Pipelines Object Storage Cohort Studies Case Management Business Process Computer Science Data Engineering Palantir Foundry Naming Conventions Workflow Management Root Cause Analysis Information Systems Relation Extraction Relational Databases Operational Databases Artificial Intelligence Self Service Technologies SQL (Programming Language) Product Family Engineering Java (Programming Language) Software As A Service (SaaS) Extract Transform Load (ETL) Scala (Programming Language) Python (Programming Language) Ethical Standards And Conduct Generative Artificial Intelligence Application Programming Interface (API), We are seeking a Palantir Data Engineer to design, build, and operate ontology-driven data products in Palantir Foundry (SaaS). This role emphasizes semantic data modeling, entity-centric design, and ontology-backed analytics and operational workflows, rather than pure pipeline engineering alone.

You will work closely with product owners, analysts, and mission stakeholders to translate real-world domains-such as case management, operations, and reporting-into well-governed ontologies composed of entities, relationships, properties, and actions. You will then implement and maintain the data pipelines and transformations that reliably populate and evolve those ontologies.

This role is ideal for an engineer who enjoys ontology-first thinking, data product design, strong governance, and enabling both analytics and operational use cases from a shared semantic foundation.

What You Will Do:

Ontology Design & Semantic Data Modeling (Primary Focus)

• Design, implement, and maintain Palantir Foundry Ontologies, including entities, relationships, properties, actions, and permissions.
• Translate business processes and domain requirements into clear, reusable entity and relationship models.
• Ensure semantic consistency across datasets by enforcing standardized definitions, naming conventions, and relationship patterns.
• Evolve ontologies over time while maintaining lineage, backward compatibility, and data contracts.

Build & Operate Foundry Pipelines Supporting the Ontology

• Design and implement ingestion pipelines into Foundry from APIs, relational databases, object storage, file drops, and external partners.
• Build transformation logic that materializes ontological entities and relationships from raw and curated data sources.
• Implement incremental processing and CDC patterns to keep ontology-backed data current.
• Optimize pipeline performance and reliability while maintaining clarity between raw, curated, and ontology-backed layers.

Deliver Ontology-Backed Analytics & Case Management Data Products

• Produce analysis-ready datasets that power case views, entity timelines, dashboards, cohort analysis, and trend reporting.
• Enable self-service analytics by ensuring ontology-backed datasets are intuitive, well-documented, and reusable.
• Support both human workflows (case review, operations) and analytical/ML consumption from the same semantic foundation.

Governance, Lineage & Data Quality

• Ensure datasets and entities are fully documented with ownership, descriptions, and business definitions.
• Maintain end-to-end lineage from source systems through transformations into ontological entities.
• Implement policy-based access controls and secure handling aligned to organizational and compliance requirements.
• Operationalize data quality checks (freshness, completeness, validity) tied to mission-critical entities.

Reliability, Performance & Operational Excellence

• Monitor pipelines and ontology-backed datasets using metrics, logs, and alerts.
• Troubleshoot failures, conduct root-cause analysis, and implement preventive improvements.
• Support environment promotion practices (DEV / TEST / PRE-PROD / PROD) with repeatable and auditable processes.

Cross-Team Collaboration

• Partner with platform engineering, security, analytics, and application teams to align ontology design with operational needs.
• Communicate complex ontology and data concepts clearly to both technical and non-technical stakeholders.
• Participate in design and architecture reviews related to ontology evolution and data modeling standards., Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Related Jobs Journeyman Data Scientist Leidos Alexandria, VA*On-Site Power BI Equities Dashboard DevSecOps Leadership Management Statistics TensorFlow Mathematics Scalability Market Data Data Science Data Sharing Cryptography Communication Data Analysis Data Security Apache Hadoop Responsible AI Microsoft Azure Problem Solving Data Governance Sprint Planning Data Encryption Ancient History Computer Science Machine Learning Data Engineering Product Planning Agile Methodology Performance Metric Data Visualization Data Preprocessing Amazon Web Services Predictive Modeling Feature Engineering Software Development Statistical Analysis Statistical Modeling Programming Languages Descriptive Analytics Artificial Intelligence Pandas (Python Package) Concept Drift Detection R (Programming Language) SQL (Programming Language) Machine Learning Algorithms Machine Learning Frameworks Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process Generative Artificial Intelligence PyTorch (Machine Learning Library) Application Programming Interface (API) Tableau (Business Intelligence Software) +0

Salesforce Developer Palantir Data Engineer Guidehouse McLean, VA*On-Site CI/CD Loans Metadata Dashboard Timelines Operations Governance Databricks Ontologies Data Quality Data Science Communication Data Modeling Product Design Data Pipelines Object Storage Cohort Studies Case Management Business Process Computer Science Data Engineering Palantir Foundry Naming Conventions Workflow Management Root Cause Analysis Information Systems Relation Extraction Relational Databases Operational Databases Artificial Intelligence Self Service Technologies SQL (Programming Language) Product Family Engineering Java (Programming Language) Software As A Service (SaaS) Extract Transform Load (ETL) Scala (Programming Language) Python (Programming Language) Ethical Standards And Conduct Generative Artificial Intelligence Application Programming Interface (API) +0

Salesforce Developer Journeyman Data Scientist Leidos Alexandria, VA*On-Site Power BI Equities Dashboard DevSecOps Leadership Management Statistics TensorFlow Mathematics Scalability Market Data Data Science Data Sharing Cryptography Communication Data Analysis Data Security Apache Hadoop Responsible AI Microsoft Azure Problem Solving Data Governance Sprint Planning Data Encryption Ancient History Computer Science Machine Learning Data Engineering Product Planning Agile Methodology Performance Metric Data Visualization Data Preprocessing Amazon Web Services Predictive Modeling Feature Engineering Software Development Statistical Analysis Statistical Modeling Top Secret Clearance Programming Languages Descriptive Analytics Artificial Intelligence Pandas (Python Package) Concept Drift Detection R (Programming Language) SQL (Programming Language) Machine Learning Algorithms Machine Learning Frameworks Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process Generative Artificial Intelligence PyTorch (Machine Learning Library) Application Programming Interface (API) Tableau (Business Intelligence Software) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

• A Bachelor's degree is required
• A minimum of 3 years of experience building and operating production data pipelines and data models is required
• Hands-on experience with Palantir Foundry, or strong data engineering experience with the ability to ramp quickly.
• Palantir Foundry Ontology experience, including:

• Entity and relationship modeling
• Ontology-backed actions and workflows
• Permissioning and governance within the ontology

• Strong proficiency in SQL and at least one data engineering language (Python preferred; Scala/Java acceptable).
• Experience implementing ETL/ELT pipelines, incremental processing, and transformation best practices.
• Familiarity with governance fundamentals, including metadata, lineage, access controls, and data quality.
• Strong communication skills and experience working directly with product and mission stakeholders.

What Would Be Nice To Have:

• Palantir Application Developer experience, building operational applications and workflows on top of the ontology.
• Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field (or equivalent practical experience).
• Palantir AIP experience, including:

• Ontology-backed document understanding and summarization
• Entity extraction and enrichment
• Human-in-the-loop review with governance controls

• Generative AI-assisted coding experience, such as:

• Using AI copilots for pipeline development, transformations, ontology evolution, and code review
• Applying generative AI to improve developer productivity while maintaining data quality and governance

• Experience supporting ontology-first designs for case management systems.
• Knowledge of entity resolution, relationship extraction, and graph-based modeling.
• Familiarity with Databricks, Spark, or lakehouse architectures in hybrid environments.
• Exposure to CI/CD practices for data pipelines and ontology changes.

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.