Note: The job is a remote job and is open to candidates in USA. L3Harris Technologies is undertaking a large-scale data and AI implementation that integrates legacy systems and supports enterprise use cases. The Senior Associate, Application Developer – Data Engineer develops, tests, and supports data pipelines, applications, and workflows in Palantir Foundry, delivering secure and scalable data products for enterprise operations and AI-enabled applications.
Responsibilities
- 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
Skills
- 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 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
Benefits
- 9/80 schedule: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off
- Remote opportunity
- Health and disability insurance
- 401(k) match
- Flexible spending accounts
- EAP
- Education assistance
- Parental leave
- Paid time off
- Company-paid holidays
Company Overview
Company H1B Sponsorship