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Federated Lab Lead with Security Clearance

Aiea, HI · On-site

$99K - $131K/yr

Federated Lab Lead Job Category: Project and Program Management Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 25% Type ...

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Federated information

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$13

$32

$56

How much do federated jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for federated in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

What are federated jobs?

Federated jobs typically refer to roles that involve managing or working within a federated system, where data, resources, or operations are distributed across multiple organizations, departments, or locations. In technology, this often involves federated learning or federated identity management, where collaboration occurs without sharing sensitive data directly. Federated roles require strong skills in coordination, data privacy, and interoperability between different systems. The goal is to enable collaboration while maintaining autonomy and data security for each participant.

What are the key skills and qualifications needed to thrive as a Federated Learning Engineer, and why are they important?

To thrive as a Federated Learning Engineer, you need a strong background in machine learning, distributed systems, and data privacy, often supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow Federated, PySyft, and secure aggregation protocols is typically required. Collaboration, problem-solving, and clear communication are critical soft skills for working across data silos and with cross-functional teams. These skills are important to ensure robust, privacy-preserving machine learning solutions that can be integrated across diverse organizational boundaries.

What are some common challenges faced by professionals working in federated learning roles, and how can they be addressed?

Professionals in federated learning roles often encounter challenges related to data privacy, system heterogeneity, and communication efficiency. Ensuring that sensitive data remains on local devices while still enabling effective model training requires robust privacy-preserving techniques. Additionally, managing diverse hardware and network capabilities across federated nodes can complicate coordination and model convergence. Addressing these challenges typically involves implementing advanced encryption, developing algorithms that account for device variability, and optimizing communication protocols to minimize bandwidth usage, all while collaborating closely with data engineers and security teams.
More about Federated jobs
What cities are hiring for Federated jobs? Cities with the most Federated job openings:
What states have the most Federated jobs? States with the most job openings for Federated jobs include:
Infographic showing various Federated job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.
Federated Systems Field Engineer

Federated Systems Field Engineer

Deloitte

Gilbert, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


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