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Remote Rf Optimization Engineer Jobs in Missouri

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113.30K - $136.10K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... cycle optimization and clinical outcomes. Why This Role Matters Healthcare data engineering is ...

ClickHouse

$104.20K - $139.70K/yr

... optimization to distributed coordination and extension development. You'll shape critical ... remote

Jobgether

The environment is highly collaborative, remote-first, and focused on ownership, continuous ... Review technical designs, identify technical debt, and proactively recommend optimization ...

Jobgether

$88.70K - $116.50K/yr

... remote-first culture. Ideal candidates are hands-on engineers who enjoy solving complex technical challenges, optimizing performance, and building clean, maintainable frontend systems at scale.

Jobgether

$88.40K - $106.10K/yr

You will contribute to the design, optimization, and maintenance of cloud-based data systems using ... Communicate effectively with remote international teams and contribute proactively within Agile ...

LaunchCode

Network Engineer

Saint Louis, MO · On-site +1

$77.60K - $176K/yr

US (Remote) Job Type : Direct Hire Compensation : $77,600-$176,000 annually Clearance Requirement ... network optimization, this is a great opportunity for an engineer who enjoys both hands-on ...

Jobgether

This is a remote-first environment where collaboration, autonomy, and strong engineering judgment ... optimization * Experience with programming languages such as Python or similar backend-focused ...

Aquent

Realtime Graphics Developer

California, MO · Remote

$125.30K - $154.80K/yr

Remote in Culver City, Cupertino or NYC Starting: ASAP Pay Comments: W2, weekly pay, benefits, 401k ... engineer to design and build realtime visual effects, prototypes, and creative tools. In this role ...

Jobgether

Demonstrate and communicate the value of quantum technologies across areas such as optimization ... Flexible work arrangements with remote, hybrid, or onsite options across Europe * Comprehensive ...

Jobgether

You will work in a highly collaborative, remote-first engineering environment where autonomy ... optimization. * Design and manage database schemas and queries in PostgreSQL, ensuring efficient ...

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Remote Rf Optimization Engineer information

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 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 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 are popular job titles related to Remote Rf Optimization Engineer jobs in Missouri? For Remote Rf Optimization Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Rf Optimization Engineer jobs in Missouri look for? The top searched job categories for Remote Rf Optimization Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Rf Optimization Engineer jobs? Cities in Missouri with the most Remote Rf Optimization Engineer job openings:
Remote Rf Optimization Engineer jobs near you
Data Engineer

Data Engineer

Nimble Solutions

Chesterfield, MO • On-site, Remote

$113.30K - $136.10K/yr

Full-time

Posted 7 days ago

Job description

Job Type
Full-time
Description
Data Engineer
Chesterfield Office Hybrid or Remote
Why You'll Want to Join!
Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
Position Overview
Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data-claims, EMR/EHR, HL7/FHIR-into actionable insights that drive revenue cycle optimization and clinical outcomes.
Why This Role Matters
Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.
Key Responsibilities
• Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
• Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
• Write and optimize SQL queries for performance across large healthcare datasets
• Implement data governance, quality frameworks, and HIPAA compliance controls
• Collaborate with analytics, data science, and business teams to define data requirements
• Monitor and troubleshoot data pipeline health and performance
• Develop Python or Scala code for complex transformations and data processing
• Support Power BI and analytics teams with data modeling and performance optimization
• Document data lineage, transformations, and technical architecture
Requirements
• 3+ years of professional data engineering or ETL/ELT development experience
• Expert-level SQL skills with proven optimization experience
• Proficiency in Python, Scala, or similar data processing languages
• Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
• Understanding of healthcare data standards (HL7, FHIR, claims data structures)
• Strong grasp of data modeling, normalization, and schema design
• Experience with data versioning, CI/CD pipelines, and data quality frameworks
Preferred Qualifications
• Experience with Microsoft Fabric or Azure Data Factory
• Knowledge of HIPAA compliance and healthcare data security
• Background in healthcare, RCM, or claims processing
• Experience with dbt (data build tool) or equivalent transformation frameworks
• Exposure to dimensional modeling and data warehousing best practices
What Success Looks Like
• In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
• In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
• Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance

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