Data Engineer – Senior Data Engineer, Palantir, Data Platforms

Reef Group

Data Engineer supporting the design and development of data environments for federal clients. Working with modern data platforms to enable analytics and operational decision-making.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and cloud-based data platforms, with a strong focus on data integration, quality, and governance. Proven ability to collaborate with diverse stakeholders to enhance data accessibility and support advanced analytics initiatives.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT WorkflowsCloud Data Platform ExperienceData GovernanceData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData IntegrationData StructuresData Lifecycle ManagementData MappingData Model AlignmentOperational Decision-MakingAI/ML EnablementTechnical Problem-SolvingPlatform Optimization

Soft Skills

CollaborationClient-Facing CommunicationAdaptability

Tools & Technologies

Cloud PlatformsData Ingestion FrameworksModern Data Platforms

Industry Keywords

Federal EnvironmentsGovernment EnvironmentsMission-Focused Environments

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines and ingestion workflows
Integrate, transform, and operationalize structured and unstructured data sources
Support data mapping, data model alignment, and platform integration activities
Develop and maintain cloud-based and modern data platform solutions
Collaborate with technical and non-technical stakeholders to understand mission and operational requirements
Improve data quality, reliability, and accessibility across enterprise environments
Support data governance, metadata, and platform optimization efforts
Enable advanced analytics, AI/ML, and operational decision-making through robust data engineering practices
Contribute to solution design, technical problem-solving, and continuous platform improvement

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field, or equivalent experience
Minimum 3+ years of professional experience in data engineering, data integration, or related technical roles
Experience developing and maintaining data pipelines, ETL/ELT workflows, or ingestion frameworks
Experience working within cloud or modern data platform environments
Experience supporting federal, government, or mission-focused environments
Strong understanding of data structures, integration approaches, and data lifecycle management
Ability to work collaboratively in fast-paced, client-facing environments

Benefits

Comp & perks

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