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Remote Rf Optimization Engineer Jobs in Raleigh, NC

Senior Environmental Engineer 1

Cary, NC · On-site +1

$106K - $146K/yr

A remote position may be considered for the ideal candidate. DUTIES/RESPONSIBILITIES In this ... Perform routine data collection and optimization activities for remediation systems. * Conduct ...

Senior Algorithms Engineer

Cary, NC · On-site +1

$120K - $158K/yr

Optimization exposure * A track record of developing mathematical algorithms into shipped ... Fully remote within the United States Additional Information Please read the following before ...

... remote Bitsight is a cyber risk management leader transforming how companies manage exposure ... Campaign testing and optimization * Audience segmentation and personalization * Lead routing and ...

Senior Algorithms Engineer

Cary, NC · On-site +1

$120K - $158K/yr

Optimization exposure * A track record of developing mathematical algorithms into shipped ... Fully remote within the United States Additional Information Please read the following before ...

New

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Experience with model serving, inference optimization, or AI platform tools such as MLflow ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Strong SQL skills (joins, window functions, and query optimization fundamentals) * Proficiency in ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

Senior Software Engineer

Raleigh, NC · On-site +1

$118K - $195K/yr

... and recommend optimization strategies * Translate strategic goals and identified gaps into ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... Ensure operational excellence through performance optimization, CI/CD, testing, documentation, and ...

New

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... Ensure operational excellence through performance optimization, CI/CD, testing, documentation, and ...

New

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Performance optimization for queries and dashboards. * Develop and deliver clear, compelling ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Senior Lead Project Engineer

Raleigh, NC · On-site +1

$96K - $125K/yr

Engineering & Science Job Schedule: Full time Remote: No At Hitachi Energy, we're not just building ... Whether it's shaping SCADA systems, optimizing inverter-based controls, or collaborating with ...

Senior Lead Project Engineer

Raleigh, NC · Remote

$96K - $125K/yr

Engineering & Science Job Schedule: Full time Remote: No At Hitachi Energy, we're not just building ... Whether it's shaping SCADA systems, optimizing inverter-based controls, or collaborating with ...

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Showing results 1-20

Remote Rf Optimization Engineer information

See Raleigh, NC salary details

$36K

$114.4K

$177.9K

How much do remote rf optimization engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote rf optimization engineer in Raleigh, NC is $114,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $135,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What are the key skills and qualifications needed to thrive as a Remote RF Optimization Engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.
What are the most commonly searched types of Rf Optimization Engineer jobs in Raleigh, NC? The most popular types of Rf Optimization Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Rf Optimization Engineer jobs in Raleigh, NC? For Remote Rf Optimization Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Rf Optimization Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Rf Optimization Engineer jobs in Raleigh, NC are:
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • Remote

$111K - $133K/yr

Contractor

Posted 4 days ago


Job description

Overview
  • Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks.
  • This remote contract-to-hire position will be originated in Raleigh, NC.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
Responsibilities
  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
  • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
  • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
  • Written and oral presentations to high-level CIO management on status of current efforts.
  • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. Typically has specialization in a particular technology or business application. Keeps abreast of technological developments and industry trends.
  • Assist with deployment, configuration, and management of Azure Cloud environment.
  • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
  • Ability to share optimization and efficiencies with the larger team and management.
  • Ability to automate solutions to repetitive problems/tasks.
Qualifications
  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 13+ years of overall IT experience.
  • 5+ years demonstrated experience designing and implementing data ingestion pipelines using tools such as Azure Data Factory, Apache Kafka, Apache NiFi, Spark Structured Streaming, or equivalent technologies.
  • 5+ years of experience applying de-duplication techniques at scale, including record linkage, fuzzy matching, and entity resolution across structured and unstructured datasets.
  • 5+ years of hands-on experience with data tagging and metadata management, including the use of tagging schemas, data catalogs (e.g., Azure Purview, Apache Atlas), and automated classification tools to support data governance and lineage tracking.
  • 5+ years of demonstrated experience working with unstructured data.
  • 2+ years of experience in using Databricks or other Spark-based platforms.
  • Fluency in at least one scripting language (Python, Perl, Ruby, or equivalent).
  • Experience with one or more of the following products and technologies: SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.
  • Integration of Git in continuous deployment and experience with DevOps monitoring tools is a plus.
  • Familiarity with Cloud Operations support in Azure is a plus.
  • Excellent communication skills.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Must be a US Citizen or have US Permanent Residence status (Green Card).
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.

A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

Sourced by ZipRecruiter

Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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