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Remote Java Developer C2C Jobs in Carnegie, PA (NOW HIRING)

Sr. Innovation Software Engineer

Pittsburgh, PA · On-site +1

$118K - $156K/yr

... Java, Python, TypeScript/JavaScript, or similar) and/or experience leveraging AI-assisted ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... programming and data language, for example, JAVA, Python, SQL, .NET, API, or Data Base, etc ... Ability to multi-task and reprioritize in a dynamic environment. #LI-JB1 #LI-REMOTE This amount is ...

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Remote Java Developer C2C information

See Carnegie, PA salary details

$14

$54

$74

How much do remote java developer c2c jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote java developer c2c in Carnegie, PA is $54.37, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $60.87 per hour, depending on experience, location, and employer.

What is the difference between Remote Java Developer C2C vs Remote Java Software Engineer?

AspectRemote Java Developer C2CRemote Java Software Engineer
CredentialsJava certifications, relevant experienceJava certifications, relevant experience
Work EnvironmentContract-based, independent contractor setupTypically full-time, employed by a company
Employer & Industry UsageUsed by staffing agencies and clients seeking flexible contractorsUsed by companies for ongoing projects and full-time roles
Search & Comparison IntentLooking for flexible, contract-based Java rolesSeeking full-time Java development positions

The main difference between Remote Java Developer C2C and Remote Java Software Engineer lies in employment type and work setup. C2C roles are contract-based, ideal for freelancers or independent contractors, while Software Engineers are typically full-time employees. Both roles require similar skills and certifications, but their work arrangements and employer relationships differ.

What is a Remote Java Developer C2C?

A Remote Java Developer C2C is a software developer who specializes in Java programming and works remotely, typically under a Corp-to-Corp (C2C) arrangement. In this setup, the developer provides services through their own corporation or a staffing agency’s corporation, rather than as a direct employee (W2). This arrangement is common for contract work and allows for more flexibility in work location and project selection. C2C positions often require developers to manage their own taxes and benefits.

What are some unique challenges faced by Remote Java Developers working on a C2C (Corp-to-Corp) basis, and how can they be managed?

As a Remote Java Developer on a C2C basis, you may encounter challenges such as managing communication across time zones, ensuring clear project requirements, and handling administrative tasks like invoicing and contracts. It's important to establish structured communication routines with your client and proactively clarify expectations to avoid misunderstandings. Additionally, using project management and collaboration tools can help maintain transparency and keep projects on track. Staying organized with your business paperwork and understanding your contractual obligations will also contribute to a smooth working relationship.

What are the key skills and qualifications needed to thrive as a Remote Java Developer C2C, and why are they important?

To thrive as a Remote Java Developer C2C, you need strong proficiency in Java programming, a solid understanding of software development principles, and relevant experience or a degree in computer science or related fields. Familiarity with tools like Spring Framework, version control systems (such as Git), and build automation tools, along with experience in cloud platforms or CI/CD pipelines, is typically required. Excellent problem-solving abilities, effective communication, and self-motivation are vital soft skills for remote collaboration and project delivery. These skills ensure you can build robust applications, coordinate efficiently with distributed teams, and deliver quality code in contract-based remote environments.
What cities near Carnegie, PA are hiring for Remote Java Developer C2C jobs? Cities near Carnegie, PA with the most Remote Java Developer C2C job openings:
Infographic showing various Remote Java Developer C2C job openings in Carnegie, PA as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,082 per year, or $54.4 per hour.
R&D Software Engineer -- AI/ML Mission Solutions

R&D Software Engineer -- AI/ML Mission Solutions

Rackner

Pittsburgh, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

R&D Software Engineer — AI/ML Mission Solutions

Location: United States
Work Model: Remote
Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions
Clearance: U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance.

Build AI/Data Capabilities for Mission-Focused R&D

Rackner is hiring an R&D Software Engineer — AI/ML Mission Solutions to help build, prototype, validate, and improve AI/data-driven software capabilities for defense-relevant use cases.

This is a hands-on R&D role for an engineer who enjoys solving hard problems across software, data, AI/ML, algorithms, RAG, agentic systems, simulation, or pipeline workflows. You will work with Rackner's internal R&D team to turn ambiguous ideas, operational needs, and user feedback into working technical capabilities.

We are not looking for one person to be an expert in every area. The strongest candidates bring one deep technical lane — such as AI/ML systems, RAG/agentic workflows, data pipelines, Python/Go development, Kubernetes/deployable systems, MLOps, or algorithmic software — plus enough working knowledge in adjacent areas to contribute in a fast-moving R&D environment.

This is not a traditional sales role and not a platform-only engineering role. Kubernetes, Terraform, cloud, CI/CD, and DevSecOps are helpful, but the main focus is software engineering, AI/data systems, algorithmic problem-solving, validation, and R&D execution.

What You'll Do

  • Design, prototype, test, and refine AI/data-driven software capabilities for mission-focused use cases
  • Build software for AI/ML experimentation, RAG or agentic workflows, model integration, simulation, data pipelines, and applied R&D prototypes
  • Develop and improve data workflows, schema transformations, JSON workflows, APIs, backend services, and integration layers
  • Support AI/ML workflows including inference, evaluation, deployment, monitoring, and model-serving patterns
  • Validate outputs through testing, data quality checks, evaluation methods, debugging, monitoring, and failure analysis
  • Troubleshoot complex issues across software, data, model, and integration layers
  • Work with engineers and technical leadership to assess tradeoffs, identify constraints, and improve solution design
  • Participate in technical demos, R&D events, mission-user discussions, and feedback cycles as needed
  • Convert stakeholder or mission feedback into actionable technical steps
  • Clearly explain technical concepts to engineering teams, program stakeholders, customers, and mission users

What You'll Bring

  • Strong software engineering background with hands-on experience building, testing, debugging, and improving modern systems
  • Proficiency in Python, Go, C++, Java, SQL, or a similar language used for backend, data, AI/ML, or algorithmic work
  • Hands-on depth in at least one relevant area: AI/ML systems, RAG, agentic development, LangChain, data pipelines, MLOps, algorithmic software, simulation, or deployable systems
  • Ability to clearly explain what you personally built, how the system worked, what broke, how you validated it, and what impact it had
  • Familiarity with real-world data workflows, including data sources, APIs, schemas, transformations, databases, files, events, or logs
  • Comfort working in fast-paced environments with evolving requirements
  • Willingness to travel approximately 15% for R&D events, demos, collaboration sessions, or customer and mission engagements

Experience That Stands Out

  • DoD, Air Force, Platform One, Big Bang, mission planning, C2, ISR, autonomy, or defense technology experience
  • AI/ML systems, applied AI workflows, RAG, agentic development, LangChain, model integration, evaluation, deployment, serving, registry, or monitoring
  • MLOps tools or workflows such as MLflow, SageMaker, Databricks, Kubeflow, Airflow, Dagster, Prefect, or similar tools
  • Data pipelines, ETL/ELT workflows, schema transformations, JSON transformations, dbt pipelines, or messy data integration workflows
  • Data validation, data quality checks, pipeline monitoring, failure handling, debugging, or observability for data/model workflows
  • Algorithms, optimization, simulation, scientific computing, applied mathematics, physics-informed software, computer vision, autonomy, or robotics
  • Python, Go, C++, SQL, PyTorch, TensorFlow, scikit-learn, FastAPI, Postgres, or related software/data/AI tooling
  • Technical demos, pilots, field exercises, workshops, briefings, or customer / mission-user discussions
  • Cloud, Docker, Kubernetes, Terraform, CI/CD, DevSecOps, ATO, or secure delivery experience

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions.

Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

Rackner invests in its people, because when you grow, we all win.

  • Company-supported certifications aligned to current and future program work, including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and related technical areas
  • Clear advancement tracks and future leadership opportunities
  • 401(k) with 100% match up to 6%
  • Comprehensive medical, dental, vision, life, and disability coverage
  • Generous PTO and paid holidays
  • Home-office equipment plan and remote work support
  • Fitness and wellness reimbursement
  • Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.