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Rf Module Design Engineer Jobs in Anchorage, AK (NOW HIRING)

... engineering, focusing on the overall design and architecture of satellite communication systems. * Experience with Xilinx toolchains and ecosystems. * Familiarity with antenna systems, RF frontend ...

... design, programming, maintenance of telecommunications and land mobile radio equipment and systems ... Basic computer skills (email, spreadsheets, inventory databases) and familiarity with RF scanners ...

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Material Handler

Anchorage, AK · On-site

$17 - $20.75/hr

... design, programming, maintenance of telecommunications and land mobile radio equipment and systems ... Basic computer skills (email, spreadsheets, inventory databases) and familiarity with RF scanners ...

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Rf Module Design Engineer information

See Anchorage, AK salary details

$74.1K

$132.9K

$173.2K

How much do rf module design engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for rf module design engineer in Anchorage, AK is $132,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $149,200.00 per year, depending on experience, location, and employer.

What does an RF Module Design Engineer do?

An RF Module Design Engineer specializes in designing, developing, and testing radio frequency (RF) modules used in a variety of wireless communication devices. They are responsible for creating circuit layouts, selecting components, and ensuring the modules meet performance, reliability, and regulatory standards. Their work often involves simulation, prototyping, and troubleshooting to optimize signal integrity and minimize interference. RF Module Design Engineers collaborate closely with hardware, software, and testing teams to integrate their modules into larger systems. This role is essential in industries such as telecommunications, aerospace, and consumer electronics.

What is the difference between Rf Module Design Engineer vs RF System Engineer?

AspectRf Module Design EngineerRF System Engineer
CredentialsBachelor's or Master's in Electrical Engineering, RF certificationsBachelor's or Master's in Electrical or RF Engineering, RF certifications
Work EnvironmentDesign labs, R&D departments, manufacturing facilitiesSystem integration labs, testing environments, R&D teams
Industry UsageWireless device manufacturing, telecom, consumer electronicsWireless networks, telecom infrastructure, system-level design

Both roles require strong RF engineering knowledge and similar educational backgrounds. The Rf Module Design Engineer focuses on designing and developing RF modules, while the RF System Engineer works on integrating RF components into complete systems. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as an RF Module Design Engineer, and why are they important?

To thrive as an RF Module Design Engineer, you need strong expertise in RF circuit design, electromagnetic theory, and a relevant engineering degree, such as electrical or electronics engineering. Familiarity with tools like ADS, HFSS, and network analyzers, plus knowledge of industry standards and certifications such as IPC, is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting complex issues. These competencies ensure the development of high-performance, reliable RF modules that meet stringent industry requirements.

What are some common challenges faced by RF Module Design Engineers during the product development cycle?

RF Module Design Engineers often encounter challenges such as minimizing interference and signal loss, ensuring compliance with international wireless standards, and integrating modules into compact device enclosures without sacrificing performance. Balancing trade-offs between power consumption, cost, and performance is also a frequent consideration. Collaboration with cross-functional teams, such as PCB layout engineers and system architects, is essential to address these challenges and deliver robust, manufacturable designs.
What are popular job titles related to Rf Module Design Engineer jobs in Anchorage, AK? For Rf Module Design Engineer jobs in Anchorage, AK, the most frequently searched job titles are:
What job categories do people searching Rf Module Design Engineer jobs in Anchorage, AK look for? The top searched job categories for Rf Module Design Engineer jobs in Anchorage, AK are:
Infographic showing various Rf Module Design Engineer job openings in Anchorage, AK as of June 2026, with employment types broken down into 20% Full Time, 70% Part Time, and 10% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $132,854 per year, or $63.9 per hour.
Data Analytics Engineer I (Future Opening)

Data Analytics Engineer I (Future Opening)

GCI

Anchorage, AK • On-site

$118K - $142K/yr

Full-time

Posted 19 days ago


Job description

This posting is to gather interest for the Data Analytics Engineer I. We are not currently hiring, but will be contacting candidates when we have an opening.

GCI's Data Analytics Engineer I will be responsible for designing, developing, and maintaining  interactive dashboards and reports that support data driven decision making within the organization. This hybrid role combines the functions of data engineering and analytics engineering, enabling the organization to leverage large-scale data for actionable business insights. Position will collaborate with cross-functional teams to ensure the quality, efficiency, and scalability of data while providing advanced analytics solutions to enhance network performance, customer experience, and operational efficiency.

ESSENTIAL DUTIES AND RESPONSIBILITIES AT ALL LEVELS:

Analytics Engineering:

  • Develop and implement data models, algorithms, and analytical solutions to derive insights from large datasets, including network performance analysis, customer behavior modeling, churn prediction, and operational optimization.
  • Implement AI driven workflows against data within analytical projects. Create automated reporting and visualization tools (e.g., dashboards, KPI reports) to communicate insights to stakeholders and drive data-informed decision-making.
  • Collaborate with business units to understand analytical needs and translate them into actionable data solutions.

Data Engineering:

  • Design, develop, and maintain robust data pipelines that efficiently collect, process, and transform data from various telecommunications sources (e.g., network performance, customer usage data, call data records, billing systems).
  • Implement and manage ETL (Extract, Transform, Load) processes to ensure seamless integration of data from multiple systems into a centralized data warehouse or data lake.
  • Ensure data quality and integrity by identifying, resolving, and preventing data discrepancies and errors.
  • Optimize and streamline data storage and retrieval processes to support real-time and batch data analysis needs.

Cross-Functional Collaboration:

  • Work closely with data scientists, business analysts, and IT teams to design and implement visualizations that provide meaningful insights.
  • Provide technical guidance and support to junior team members and other departments in data-related initiatives.

Continuous Improvement & Innovation:

  • Stay up to date with the latest trends and technologies in data engineering, analytics, and telecommunications.
  • Identify opportunities to improve existing data systems, pipelines, and analytics models to drive greater efficiency and business impact.
  • Contribute to the development and adoption of new data technologies, methodologies, and best practices within the organization.
COMPETENCIES:
  • ACCOUNTABILITY- Takes ownership for actions, decisions, and results; openly accepts feedback and demonstrates a willingness to improve.
    • Take ownership and accountability of problems and facilitate finding a solution, involving other groups as necessary. 
    • Own and manage priorities and individual tasks without direct supervision.
    • Take the initiative and seek out opportunities. Assess and accept risks and learn from mistakes. 
  • BASIC PRINCIPLES - Interacts with people in a way that builds mutual trust, confidence, and respect; adheres to GCI's Code of Conduct for Employees - the Basic Principles.
    • Lead by example on all fronts.
    • Guide development teams in a manner that creates success and allows for future self-sufficiency.
  • Foster innovation and promote teamwork.
  • COLLABORATION - Works effectively with others to accomplish common goals and objectives; maintains positive relationships even under difficult circumstances.
    • Build and maintain effective working relationships with leadership, peers, customers, and vendors. Work to resolve problem relationships directly.
  • COMMUNICATION- Conveys thoughts and expresses ideas appropriately and professionally.
    • Build and maintain effective working relationships with leadership, peers, customers, and vendors.
    • Work to resolve problem relationships directly. 
    • Create clear and concise written documentation for a variety of audiences, including developers, business analysts and business users. 
  • COMPLIANCE - Follows internal controls; protects company and customer confidential information; abides by GCI's Code of Business Conduct & Ethics.
  • Reviews modules for quality assurance.
  • CUSTOMER FOCUS - Demonstrates commitment to service excellence; gives high priority to customer satisfaction. 
    • Provide a professional level of service to both external and internal customers. 
  • RELIABILITY - Consistently follows through on assigned tasks as expected; demonstrates timely attendance at meetings, training, and other work obligations.
  • RESULTS - Uses a combination of knowledge, initiative, sound decision making, innovation, adaptability, and problem solving.
  • SAFETY & SECURITY - Supports a safe work environment by following all workplace safety rules and guidelines; complies with applicable Security policies and procedures.
  • TECHNICAL COMPETENCIES -
    • MS Office knowledge (e.g., Outlook, Teams, Word, Excel). Ability to Design, Evaluate, and test data infrastructure.
    • Proficiency in SQL, Python, and R for data manipulation and analytics.
    • Experience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS, Azure, Google Cloud).

Proficient with data visualization tools (e.g., Tableau, Power BI).

  • Knowledge of machine learning algorithms and statistical analysis techniques.
  • Familiarity with telecommunications systems and related data types (e.g., network performance metrics, call data records).

Additional Job Requirements:

Works under moderate supervision, supports the team with reasonably complex issues, processes and projects developing a stronger working knowledge of subject matter. 

  • Assist in the collection, processing, and cleaning of raw data from various sources (e.g., network performance, customer usage data, billing systems).
  • Develop and maintain  dashboards and reports.
  • Write basic SQL queries to query and extract data for analysis.
  • Assist senior team members with data preparation tasks, including data validation and transformation.
  • Conduct basic exploratory data analysis (EDA) and assist in visualizing data for team reports.
  • Document data processes and workflows to maintain clarity on pipeline structures and operational processes.

Additional Competencies:

  • Familiarity with SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
  • Ability to collaborate with cross-functional teams.
  • Eagerness to learn and develop technical skills in data engineering and analytics.
  • Basic understanding with ETL processes, data pipeline design, and data warehousing.
  • Basic understanding of telecommunications systems, data, network architecture, and key performance metrics.
  • Familiarity with spatial data analysis.

Minimum Qualifications:

Required: *A combination of relevant work experience and/or education sufficient to perform the duties of the job may substitute to meet the total years required on a year-for-year basis

  • High School diploma or equivalent.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Telecommunications, or a related field. *
  • Minimum of one (1) year of experience in data engineering, analytics engineering, or a related role in the telecommunications industry. *

Preferred:

  • Advanced degree (Master's or PhD) in Data Science, Machine Learning, or a related field.
  • Familiarity with network optimization, customer experience analysis, or predictive analytics in telecommunications.
  • Other telecom industry or job specific certifications. 

DRIVING REQUIREMENTS

This position may require access to reliable transportation for occasional travel, such as between retail store locations, offices, worksites, or other locations as needed. 

PHYSICAL REQUIREMENTS and WORKING CONDITIONS:  
  • Work is primarily sedentary, requiring daily routine computer usage.
  • Ability to work shifts as assigned, work in standard office/home office setting, and operate standard office equipment.
  • Ability to accurately communicate information and ideas to others effectively.
  • Physical agility and effort sufficiently to perform job duties safely and effectively.
  • Ability to make valid judgments and decisions.  
  • Available to work additional time on weekends, holidays, before or after normal work hours when necessary. 
  • Must work well in a team environment and be able to work with a diverse group of people and customers. 
  • Virtual workers must comply with remote work policies and agreements.
The company and its subsidiaries operate in a 24/7 environment providing critical services to Alaskans and may need to respond to public health and safety matters or other business emergencies. Due to business needs employees may be contacted outside of the core business hours to respond to an immediate emergency. As such, you will be requested to provide emergency after hours contact numbers, to include your home and cell phone numbers if you have those services. Culture, Engagement, and Connection: At GCI, we foster an environment where the unique perspectives of our employees, customers, and fellow Alaskans are celebrated. We add value to our community by nurturing and empowering each member of our workforce, ensuring equal opportunities for every Trailblazer. EEO: GCI is an equal opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, mental or physical disability, veteran status, or any other status or classification protected under applicable state or federal law.  DISCLAIMER:  The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. All employees of GCI work in support of the GCI Mission Statement and Declaration of Principles which are located on the GCI Career page and Employee portal.