Data Analytics Engineer

Steel Point Solutions is hiring for a Data Analytics Engineer role focused on building modern data solutions using Palantir Foundry and related technologies.

Responsibilities

• Develop, manage, and optimize data pipelines and data integrations within Palantir Foundry and related environments
• Design and implement scalable analytics solutions aligned to operational and business requirements
• Integrate data from multiple sources while ensuring data quality, availability, and reliability
• Troubleshoot issues across data pipelines, integrations, and analytics workflows to restore functionality and performance
• Design and implement data ontologies and business object models in Palantir Foundry
• Translate business and operational needs into structured data models and interconnected business objects
• Develop operational workflows that leverage ontology-driven data for decision-making and business processes
• Collaborate with stakeholders to refine ontology structures and maintain alignment with mission and organizational objectives
• Create enterprise data architectures, data models, and technical solution designs leveraging Palantir capabilities
• Establish scalable and sustainable approaches for data integration, storage, processing, and analytics
• Develop and maintain data architecture documentation, standards, and technical specifications
• Ensure solutions align with enterprise architecture, security, governance, and organizational requirements
• Support development and implementation of data governance frameworks and standards
• Establish practices for data quality, lineage, accessibility, and consistency
• Identify opportunities to reduce data silos and improve data management processes
• Ensure data solutions adhere to established technical and governance standards
• Collaborate with data scientists, analysts, engineers, architects, business stakeholders, and technical leadership
• Translate business requirements into technical data solutions and communicate complex concepts to non-technical stakeholders
• Participate in requirements gathering, solution design, development, testing, and implementation
• Provide technical recommendations and contribute to continuous improvement initiatives
• Research and evaluate emerging data technologies, analytics capabilities, and best practices
• Identify how to leverage Palantir Foundry capabilities to improve operational efficiency and decision support
• Recommend enhancements to data pipelines, architectures, ontologies, and analytics solutions
• Support adoption of modern data engineering and architecture practices

Requirements

• Experience in data engineering, data architecture, ontology development, or a related data analytics discipline
• Experience developing and managing data pipelines, integrations, data models, or analytics solutions
• Experience with enterprise data architecture, data governance, or technical solution design
• Ability to translate business and operational requirements into scalable technical data solutions
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively with cross-functional technical and business teams

Technologies

• Palantir Foundry
• Palantir Ontology

Preferred Experience

• Hands-on experience with Palantir Foundry
• Experience developing data pipelines and integrations within Palantir Foundry
• Experience designing and implementing Palantir Ontology, business object models, and operational workflows
• Experience developing enterprise data architectures and technical solution designs leveraging Palantir capabilities
• Experience with data governance frameworks, data modeling, and enterprise information management
• Experience supporting federal government, Department of Defense, or other mission-focused organizations
• Experience working in Agile or other modern software development environments

Data Analytics Resource Categories

• Data Engineer: develops and manages data pipelines, integrations, and analytics solutions within Palantir Foundry or related environments
• Ontology Specialist: designs and implements data ontologies, business object models, and operational workflows
• Data Architect: develops enterprise data architectures, data models, governance frameworks, and technical solution designs leveraging Palantir capabilities

Location: Washington, DC (onsite)

Salary: USD 120,000 - 144,000 per yearly