Senior Associate, Application Developer – Data Engineer

L3Harris Technologies

. Build and optimize robust, reliable, high-performance data pipelines .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $70,500 - $130,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data pipelines, implementing data transformation logic, and ensuring data quality and governance. Proficient in using Palantir Foundry and developing data-intensive software solutions with a strong understanding of data integration and enterprise architecture standards.

Highest-signal resume keywords

Data Pipeline DevelopmentPalantir Foundry ExperiencePython ProgrammingETL/ELT WorkflowsData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentPython ProgrammingTypeScript ProgrammingJavaScript ProgrammingETL/ELT WorkflowsData Transformation LogicVersion ControlUnit TestingDebuggingCI/CD Concepts

Soft Skills

CollaborationProblem-SolvingCommunicationContinuous ImprovementAgile Methodologies

Tools & Technologies

Palantir FoundryAI-Assisted Development ToolsRelational DatabasesNon-Relational DatabasesData Governance Tools

Industry Keywords

Data GovernanceEnterprise Data ManagementRegulated IndustriesData QualityOperational Data Products

Tech Stack

Tools & technologies

ETLJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Build and optimize robust, reliable, high-performance data pipelines
Implement data ingestion, transformation, enrichment, validation, and monitoring logic
Troubleshoot pipelines, tune performance, and resolve defects
Translate business requirements, operational processes, and domain rules into data transformation logic
Implement transformation frameworks encoding business logic across source systems and downstream use cases
Collaborate with business analysts, product owners, and domain stakeholders on data rules, calculations, and definitions
Develop curated datasets and reusable data products for analytics, reporting, operational workflows, and AI-enabled applications
Align pipelines and data products with enterprise architecture standards and ontology models in Palantir Foundry
Implement ontology-aligned datasets, object relationships, and semantic models
Support common patterns, naming conventions, governance practices, and integration standards
Implement data quality checks, reconciliation logic, validation rules, and observability mechanisms
Support governance through traceable transformation logic, documentation, lineage awareness, and adherence to standards
Collaborate with security, infrastructure, and operations teams on compliant, secure, reliable deployments
Write clean, maintainable, documented code following standards for version control, peer review, testing, and deployment
Participate in unit testing, integration testing, debugging, and continuous improvement
Leverage modern engineering tools, including AI-assisted development tools where appropriate
Participate in agile ceremonies including sprint planning, backlog refinement, standups, demos, and retrospectives
Provide task status updates, identify blockers, and support delivery commitments
Contribute to continuous improvement of team engineering practices, tooling, and delivery processes
Build proficiency in Palantir Foundry development frameworks, enterprise data integration, ontology-driven development, and data platform best practices

Requirements

What you’ll need

Bachelor’s Degree and minimum 2 years of prior relevant experience
Graduate Degree or equivalent with 0 to 2 years of prior related experience
In lieu of a degree, minimum of 6 years of prior related experience
Experience developing data-intensive software solutions using Python, TypeScript, JavaScript, or similar
Experience building, supporting, or maintaining data pipelines, ETL/ELT workflows, or system integrations
Experience with relational or non-relational databases, structured and semi-structured data, and transformation logic
Understanding of version control, code reviews, unit testing, debugging, and CI/CD concepts
Familiarity with data quality, validation, and troubleshooting techniques in data workflows
Experience with Palantir Foundry, including Pipelines, Code Repositories, Ontology, Workshop, Operational Applications, or ontology-based development
Experience designing or supporting robust, high-performance enterprise data pipelines across multiple source systems
Experience implementing business logic within data transformations
Exposure to AI/ML-enabled workflows, analytics applications, or operational data products
Experience in regulated industries such as defense, aerospace, manufacturing, finance, or healthcare
Familiarity with secure software development practices, data governance concepts, and enterprise data management principles

Benefits

Comp & perks

Health and disability insurance
401(k) match
Flexible spending accounts
Employee Assistance Program (EAP)
Education assistance
Parental leave
Paid time off
Company-paid holidays
9/80 schedule with every other Friday off