Developer Jobs in Melbourne, Fl; Arlington

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Senior Associate, Application Developer - Data Engineer

L3Harris Technologies Melbourne, VA; Herndon

Melbourne, VA; Herndon

Today

$81k - $150k/yr Full time Senior Data Data Architecture

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Job Description

Work as a Senior Associate Application Developer focused on data engineering within a large-scale Data/AI transformation program.

Responsibilities

Build and optimize robust, reliable, high-performance data pipelines for enterprise-scale processing and downstream application performance.
Implement data ingestion, transformation, enrichment, validation, and monitoring to keep data products accurate, timely, and operationally dependable.
Troubleshoot pipelines, perform performance tuning, and resolve defects to improve resiliency, maintainability, and scalability.
Translate business requirements, operational processes, and domain rules into transformation logic that produces trusted, consumable data assets.
Implement transformation frameworks to encode business logic consistently across source systems and downstream use cases.
Partner with business analysts, product owners, and domain stakeholders to align outputs to agreed rules, calculations, and definitions.
Contribute to curated datasets and reusable data products for analytics, reporting, operational workflows, and AI-enabled applications.
Collaborate with data architects and senior engineers to align pipelines and data products with enterprise architecture standards and standardized ontology models in Palantir Foundry.
Support ontology-aligned datasets, object relationships, and semantic models to enable interoperability across domains and applications.
Adopt common patterns, naming conventions, governance practices, and integration standards to improve consistency and reuse.
Coordinate with architecture teams to deliver solutions that are scalable, maintainable, and aligned to long-term enterprise data strategy.
Implement data quality checks, reconciliation logic, validation rules, and observability mechanisms for enterprise data confidence.
Support governance needs with traceable transformation logic, documentation, lineage awareness, and adherence to platform and enterprise standards.
Work with security, infrastructure, and operations teams to support compliant, secure, and reliable deployments in a regulated environment.
Write clean, maintainable, well-documented code using 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.
Use modern engineering tools, including AI-assisted development tools where appropriate, to improve productivity, quality, and consistency.
Participate in agile ceremonies: sprint planning, backlog refinement, daily standups, demos, and retrospectives.
Provide task status updates, identify blockers, and support delivery commitments for assigned work.
Contribute to continuous improvement of 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.
Continue building technical knowledge in data engineering, data modeling, software engineering, and enterprise platform delivery.

Requirements

Bachelor’s Degree and a minimum of 2 years of prior relevant experience.
Graduate Degree or equivalent with 0 to 2 years of prior related experience.
In lieu of a degree, 6 years of prior related experience.

Technologies

Palantir Foundry
Python
TypeScript
JavaScript
ETL/ELT
Pipelines
Code repositories
Ontology
Workshop
Operational Applications

Benefits

Health and disability insurance
401(k) match
Flexible spending accounts
EAP
Education assistance
Parental leave
Paid time off
Company-paid holidays

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 and have every other Friday off

Preferred Additional Skills

Experience developing data-intensive software using Python, TypeScript, JavaScript, or similar languages.
Experience building, supporting, or maintaining data pipelines, ETL/ELT workflows, or system integrations.
Experience working with relational or non-relational databases and structured or semi-structured data.
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 for 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.

Pay Transparency

California, Massachusetts, New Jersey, Washington, and Greater D.C, Denver, or NYC areas: $80,500-$149,500
Colorado, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont: $70,500-$130,500
Final compensation may vary based on factors including experience and geographic location.

Security Clearance

Many positions require the ability to obtain a security clearance.
Security clearances may be granted only to U.S. citizens.
Applicants accepting a conditional offer may be subject to government security investigations and must meet eligibility requirements for access to classified information.

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