Data 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 on a large-scale Data and AI transformation program building secure, scalable data pipelines in the Palantir Foundry platform.

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 logic to keep data products accurate, timely, and operationally dependable.
Perform pipeline troubleshooting, performance tuning, and defect resolution to improve resiliency, maintainability, and scalability.
Convert business requirements, operational processes, and domain rules into transformation logic that produces trusted, consumable data assets.
Create transformation frameworks that encode business logic consistently across source systems and downstream use cases.
Collaborate with business analysts, product owners, and domain stakeholders to align data outputs to agreed-upon rules, calculations, and definitions.
Contribute to curated datasets and reusable data products for analytics, reporting, operational workflows, and AI-enabled applications.
Partner 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 that enable interoperability across domains and applications.
Help drive platform consistency through common patterns, naming conventions, governance practices, and integration standards.
Support architecture teams to ensure solutions are scalable, maintainable, and aligned to long-term enterprise data strategy.
Implement data quality checks, reconciliation logic, validation rules, and observability mechanisms to increase confidence in enterprise data products.
Support governance via 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 deployments in a regulated environment.
Write clean, maintainable, well-documented code following team standards for version control, peer review, testing, and deployment.
Participate in unit testing, integration testing, debugging, and continuous improvement for 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 including sprint planning, backlog refinement, daily standups, demos, and retrospectives.
Provide task status updates, identify blockers, and support delivery commitments for assigned work.
Understand requirements and deliver technical solutions alongside architects, product owners, business analysts, and peer engineers.
Contribute to continuous improvement of team engineering practices, tooling, and delivery processes.
Build proficiency in Palantir Foundry development frameworks, enterprise data integration patterns, ontology-driven development, and data platform best practices.
Continuously expand technical knowledge across data engineering, data modeling, software engineering, and enterprise platform delivery.

Requirements

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

Technologies

Palantir Foundry, Palantir Workshop, Palantir Pipelines, Palantir Code Repositories, Palantir Ontology, Palantir Operational Applications
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 (hybrid)
Remote opportunity

Job Schedule

9/80 schedule: employees work 9 out of every 14 days (80 hours total) and have every other Friday off

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 and structured or semi-structured data.
Understanding of software engineering best practices: 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 (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.

Compensation

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

Security Clearance

Many positions require the ability to obtain a security clearance.
Security clearances may only be granted 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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