Senior Associate, Application Developer - Data Engineer

Job Title: Senior Associate, Application Developer - Data Engineer

Job Code: 45764

Job Location : Melbourne, FL; Arlington, VA; Herndon, VA; Salt Lake City; UT; Greenville, TX; Plano, TX; Rochester, NY; Remote Opportunity

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job Description :

L3Harris is undertaking one of the largest-scale Data/AI implementations in the defense contracting sector. This multi-year, transformative program is building state-of-the-art AI applications on top of unified data. It is integrating ~100 legacy systems—including enterprise resource planning (ERP), product lifecycle management (PLM), supply chain, finance, operations, and specialized domain systems. The capabilities cover dozens of critical corporate use cases spanning program management, finance, operations, supply chain, engineering, and strategic planning.

The L3Harris Transformation team is seeking a Full Stack Developer to contribute to the development, testing, and support of applications, workflows, and data pipelines within the Palantir Foundry platform. This role will work as part of an agile, cross-functional team alongside architects, business system analysts, product owners, and senior developers to implement secure, scalable, and maintainable solutions that support critical enterprise use cases.

Essential Functions:

Build and optimize robust, reliable, and high-performance pipelines that support enterprise-scale processing, data availability, and downstream application performance.

Implement data ingestion, transformation, enrichment, validation, and monitoring logic to ensure data products are accurate, timely, and operationally dependable.

Support pipeline troubleshooting, performance tuning, and defect resolution to improve resiliency, maintainability, and scalability.

Translate business requirements, operational processes, and domain rules into data transformation logic that produces meaningful, trusted, and consumable data assets.

Implement transformation frameworks that encode business logic consistently across source systems and downstream use cases.

Work with business analysts, product owners, and domain stakeholders to ensure data outputs reflect agreed-upon rules, calculations, and definitions.

Contribute to the development of curated datasets and reusable data products that support analytics, reporting, operational workflows, and AI-enabled applications.

Work closely with data architects and senior engineers to align pipelines and data products with enterprise architecture standards and standardized ontology models within Palantir Foundry.

Support the implementation and refinement of ontology-aligned datasets, object relationships, and semantic models that enable interoperability across domains and applications.

Contribute to the adoption of common patterns, naming conventions, governance practices, and integration standards to improve consistency and reuse across the platform.

Partner with architecture teams to ensure data engineering solutions are scalable, maintainable, and aligned to long-term enterprise data strategy.

Implement data quality checks, reconciliation logic, validation rules, and observability mechanisms to ensure confidence in enterprise data products.

Support governance requirements through traceable transformation logic, documentation, lineage awareness, and adherence to platform and enterprise standards.

Collaborate with security, infrastructure, and operations teams to support compliant, secure, and reliable deployment of data solutions in a regulated environment.

Write clean, maintainable, and well-documented code following team standards for version control, peer review, testing, and deployment.

Participate in unit testing, integration testing, debugging, and continuous improvement across pipeline and data product components.

Leverage modern engineering tools, including AI-assisted development tools where appropriate, to improve productivity, quality, and consistency.

Participate in agile ceremonies such as sprint planning, backlog refinement, daily standups, demos, and retrospectives.

Provide task status updates, identify blockers, and support delivery commitments for assigned work.

Work closely with architects, product owners, business analysts, and peer engineers to understand requirements and deliver effective technical solutions.

Contribute to continuous improvement of team engineering practices, tooling, and delivery processes.

Develop proficiency in Palantir Foundry development frameworks, enterprise data integration patterns, ontology-driven development, and data platform best practices.

Continuously build technical knowledge in data engineering, data modeling, software engineering, and enterprise platform delivery.

Qualifications:

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.

Preferred Additional Skills:

Experience developing data-intensive software solutions using modern programming languages such as Python, TypeScript, JavaScript, or similar

Experience building, supporting, or maintaining data pipelines, ETL/ELT workflows, or system integrations

Experience working with relational or non-relational databases, structured and semi-structured data, and transformation logic

Understanding of software engineering best practices including 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 to support operational or analytical use cases

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

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $80,500-$149,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $70,500-$130,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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