Data Analytics Engineer - Palantir Foundry & Data Solutions

Steel Point Solutions

Washington (District of Columbia)

Vor Ort

USD 120.000 - 144.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401K with company match
Paid holidays
Professional development reimbursement

Zusammenfassung

Steel Point Solutions in Washington, DC is seeking Data Analytics professionals to join our growing team. The Data Analytics group will support the development and implementation of modern data solutions leveraging Palantir Foundry and related technologies.

These resources will work across data engineering, ontology development, and enterprise data architecture to transform complex data into actionable insights, improve operational workflows, and enable data-driven decision‑making.

Qualifikationen

  • Experience in data engineering, data architecture, ontology development, or 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.

Aufgaben

  • Develop, manage, and optimize data pipelines and data integrations within Palantir Foundry and related environments.
  • Design and implement scalable analytics solutions to support operational and business requirements.
  • Integrate data from multiple sources while ensuring data quality, availability, and reliability.
  • Troubleshoot data pipelines, integrations, and analytics workflows to identify and resolve technical issues.
  • Design and implement data ontologies and business object models within Palantir Foundry.
  • Translate business and operational requirements into structured data models and interconnected business objects.
  • Develop operational workflows that leverage ontology-driven data to support decision-making and business processes.
  • Collaborate with stakeholders to refine ontology structures and ensure alignment with mission and organizational objectives.
  • Develop 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 data solutions align with enterprise architecture, security, governance, and organizational requirements.
  • Support the development and implementation of data governance frameworks and standards.
  • Establish practices for data quality, lineage, accessibility, and consistency.
  • Identify opportunities to improve data management processes and eliminate data silos.
  • 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 technical concepts to non-technical stakeholders.
  • Participate in requirements gathering, solution design, development, testing, and implementation activities.
  • Provide technical recommendations and contribute to continuous improvement initiatives.
  • Research and evaluate emerging data technologies, analytics capabilities, and best practices.
  • Identify opportunities to leverage Palantir Foundry capabilities to improve operational efficiency and decision support.
  • Recommend enhancements to existing data pipelines, architectures, ontologies, and analytics solutions.
  • Support the adoption of modern data engineering and architecture practices.

Kenntnisse

Data engineering
Data architecture
Ontology development
Data governance
Analytics
Cross-functional collaboration
Problem solving
Communication

Tools

Palantir Foundry

Jobbeschreibung

Steel Point Solutions in Washington, DC is seeking Data Analytics professionals to join our growing team. The Data Analytics group will support the development and implementation of modern data solutions leveraging Palantir Foundry and related technologies.

These resources will work across data engineering, ontology development, and enterprise data architecture to transform complex data into actionable insights, improve operational workflows, and enable data-driven decision‑making.

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