Integration Engineer

Guidehouse

Lead design, development, and deployment of data integration solutions at Palantir Foundry. Collaborate with cross-functional teams to ensure data quality and system interoperability.

Posted 7/6/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $216,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSCloudJavaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Lead the design, development, and deployment of data integration solutions within Palantir Foundry and related data platforms.
Architect and implement end-to-end data pipelines, including ingestion, transformation, validation, and delivery of structured and unstructured data.
Develop and maintain ontology models, data schemas, and relationships to support analytics, search, and operational use cases.
Integrate data across multiple systems and platforms using scalable and secure patterns.
Collaborate with cross-functional teams to ensure seamless system interoperability and data consistency.
Implement data validation, quality assurance, and governance processes.
Support development of AI-enabled capabilities by enabling high-quality, well-structured data pipelines.
Operate within an Agile delivery model, contributing to sprint planning, backlog refinement, user story development, and iterative delivery of technical solutions.

Requirements

What you’ll need

U.S. Citizenship is required
Bachelor’s degree is required
Minimum FIVE (5) years of experience in data engineering, system integration, or platform engineering roles.
Strong hands-on experience with Palantir Foundry (required), including:
Building and managing data pipelines
Ontology/data model development and relationship mapping
Integration of data across multiple systems
Experience with Palantir AIP (Artificial Intelligence Platform) (required)
Experience integrating Palantir with AWS cloud services, including S3-based ingestion
Experience working with Databricks and Apache Spark for scalable data transformation
Proficiency in Python, Java, or Scala, and strong SQL skills for data transformation and querying.
Experience working with both structured and unstructured data
Strong understanding of data modeling, schema alignment, and metadata management.
Proven ability to lead technical workstreams, mentor junior staff, and collaborate across teams.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data EngineeringData ModelingSQLApache SparkDatabricksOntology DevelopmentData TransformationMetadata ManagementData ValidationQuality Assurance

Soft Skills

CollaborationMentoringLeadership