WORK
Desde la división de IoT y Servicios de Wireless DNA queremos incorporar al equipo, Técnico/Ingenieros de Diseño electrónico para Diseño de sistemas IoT/ y/o desarrolladores de hardware y firmware para sistemas microcontrolados, para trabajar en nuestro departamento de I+D+I.
· Soporte al cliente en incidencias de forma remota y/o presencial
· Instalación y puesta en marcha de sensores
· Planificación de las tareas de reparación-instalación asignadas
· Realización de actividades de mantenimiento y reparación para restablecer el buen funcionamiento de los equipos
· Elaborar informes sobre incidencias
· Comunicación interna/externa, cuando sea necesario, para dar a conocer el problema detectado en los equipos, así como de las reclamaciones de los productos defectuosos antes de su instalación y puesta en marcha
· Reporte en el CRM de la organización de todas las actividades relacionadas con inputs de clientes, necesidades, tendencias, reclamaciones, quejas y satisfacción del cliente
· Presupuestos de reparación-instalación y ampliación de garantías
Overview
WDNA Americas is at the forefront of Environmental Intelligence, transforming telecom infrastructure into powerful, hyperlocal weather observation systems. Our pioneering technology leverages existing cellular networks to monitor rainfall, detect severe weather, and generate real-time environmental insights at unprecedented resolution.
As we expand across the Americas, we are building a multidisciplinary team of meteorologists and weather analysts who are passionate about pushing the boundaries of climate resilience, early warning systems, and data-driven environmental analytics. This is a unique opportunity to work at the intersection of telecommunications, atmospheric science, and innovation — helping communities, governments, and industries better prepare for extreme weather in a changing climate.
Role Description
As a Weather Intelligence Analyst / Meteorologist at WDNA Americas, you will play a key role in our mission to deliver next-generation weather monitoring and environmental intelligence solutions. You will analyze real-time atmospheric data derived from telecom networks, validate environmental datasets, support nowcasting operations, and contribute to the development of advanced analytics products.
You will collaborate closely with data scientists, engineers, and product teams to ensure our environmental outputs meet the highest standards of accuracy and operational relevance — ultimately supporting early warning capabilities and climate resilience strategies across the Americas.
What You’ll bring
· A genuine passion for weather, climate, and environmental phenomena
· A sharp analytical mindset with a natural curiosity for data patterns and anomalies
· The ability to think critically and work methodically with large and complex datasets
· Strong attention to detail, especially in data validation and quality assurance
· Excellent communication skills — you can translate complex meteorological concepts into clear, actionable insights
· A collaborative spirit and eagerness to work in a fast-paced, innovative environment
· Comfort with ambiguity and new technologies — you thrive when building something new
What You'll Do
· Monitor and analyze real-time weather data generated from telecom-based environmental sensors
· Validate and quality-control rainfall, severe weather, and atmospheric datasets to ensure accuracy and reliability
· Support nowcasting operations, providing timely analysis of extreme weather events including heavy rainfall, thunderstorms, and other hazards
· Generate reports and environmental intelligence products for internal teams and external stakeholders
· Identify trends, anomalies, and patterns in hyperlocal weather data to improve monitoring systems
· Collaborate with data science and engineering teams to refine algorithms, analytics pipelines, and product outputs
· Contribute to R&D efforts exploring new applications of telecom-derived environmental data
· Support early warning and climate resilience initiatives across multiple regions in the Americas
Qualifications
· Bachelor's degree (or higher) in Meteorology, Atmospheric Sciences, Environmental Sciences, Climatology, Geography, or a related field
· 1–5+ years of experience in operational meteorology, weather analysis, environmental monitoring, or a related discipline
· Solid understanding of weather systems, atmospheric dynamics, and extreme weather events
· Experience working with large datasets, meteorological data formats (e.g., GRIB, NetCDF, CSV), and analysis tools
· Proficiency in at least one data analysis or programming tool (e.g., Python, R, MATLAB, GIS software)
· Familiarity with data validation, quality assurance, and statistical analysis techniques
Bonus Points If You Have:
· Experience with nowcasting systems or real-time weather monitoring platforms
· Knowledge of radar meteorology, remote sensing, or satellite-based observation systems
· Familiarity with telecom infrastructure or signal propagation concepts (e.g., microwave link attenuation)
· Experience with machine learning or AI applications in weather or environmental sciences
· Background in climate resilience, disaster risk reduction, or early warning systems
· Previous work with government agencies, NGOs, or international organizations on environmental projects
· Experience working in a startup or fast-paced tech environment
· Published research or contributions to atmospheric science or environmental analytics
· English & Spanish or French
Locations: Mexico City, MX | Toronto, Canada | Denver, CO , Dallas, TX , others, US (Hybrid)
How to apply: Please reach out to me directly via DM to express your interest or learn more about the role! contact@wdna.com
Overview
WDNA Americas is at the forefront of Environmental Intelligence, transforming telecom infrastructure into powerful, hyperlocal weather observation systems. Our pioneering technology leverages existing cellular networks to monitor rainfall, detect severe weather, and generate real-time environmental insights at unprecedented resolution.
As we expand across the Americas, we’re seeking a Radio Frequency (RF) Data Engineer to join our Environmental Intelligence team, where cutting-edge data engineering meets climate resilience. Our mission is to harness RF signal attenuation mapping from wireless, microwave, and satellite networks to deliver hyper-local weather nowcasting. This role bridges raw telecom data with actionable meteorological insights, empowering communities and businesses to prepare for extreme weather events.
Role Description
As an RF Data Engineer, you will serve as the critical bridge between raw telecommunications infrastructure and our advanced meteorological models. You will not just move data; you will design, build, and scale the sophisticated pipelines that ingest high-volume, real-time RF signal data, transforming "noise" into actionable intelligence for our data science and meteorology teams.
You’ll collaborate with meteorologists, ML engineers, and domain experts to ensure data integrity, optimize cloud infrastructure, and enable real-time decision-making. This is a mission-driven role where your work directly impacts public safety and operational resilience.
What You’ll bring
A Hybrid Mindset: The ability to speak both "Software Engineer" and "RF Engineer." You are comfortable discussing Python libraries in one breath and signal-to-noise ratios (SNR) or microwave link behavior in the next.
Data Rigor: A passion for data cleanliness and integrity, understanding that a weather model is only as good as the data feeding it.
Problem-Solving Spirit: A drive to tackle open-ended problems where the "truth" is often hidden in noisy, real-world datasets.
A collaborative spirit and eagerness to work in a fast-paced, innovative environment
Comfort with ambiguity and new technologies — you thrive when building something new
Ability to participate in technical discussions and help drive architectural and solution design decisions.
A consultancy mindset — always focused on finding practical and scalable solutions for clients.
What You'll Do
Pipeline Development: Design and maintain scalable ETL/ELT pipelines using Python, SQL, and cloud tools (AWS/GCP/Azure) to process RF and telecom data.
Data Integration: Normalize and enrich unstructured time-series data from diverse telecom partners, ensuring consistency and accuracy.
Cross-Functional Collaboration: Translate meteorological requirements into technical solutions, working closely with scientists and engineers.
Cloud & Monitoring: Optimize storage (S3, PostgreSQL), compute (Spark, Kubernetes), and real-time analytics with tools like Airflow, ELK Stack, and Prometheus.
Quality Assurance: Implement automated monitoring, anomaly detection, and alerts to maintain data reliability.
Qualifications
Academic Background: A degree in Electrical Engineering, Physics, Computer Science, or Atmospheric Science.
Experience: 5+ years of professional experience in Data Engineering, Data Architecture, or a related Software Engineering role.
Technical Core: High proficiency in Python and SQL.
API & Backend Development: Experience with FastAPI or Flask for building scalable RESTful APIs.
AI/ML Integration: Familiarity with OpenAI, Hugging Face, or similar AI APIs and ecosystems.
MCP / FastMCP: Experience working with MCP/FastMCP frameworks or similar orchestration patterns.
Big Data Stack: Hands-on experience with distributed processing frameworks (e.g., Apache Spark, Kafka) and orchestration tools (e.g., Airflow, Dagster).
Async Programming: Understanding of asynchronous programming patterns for high-performance systems.
Containerization: Familiarity with Docker and container-based deployments.
Security Best Practices: Knowledge of API authentication and authorization standards such as OAuth2 and JWT.
Cloud Services: Hands-on experience with cloud deployment, CI/CD pipelines, and infrastructure management (ideally on Azure, AWS, or GCP).
Domain Knowledge: A solid foundational understanding of RF engineering, wireless networks, or digital signal processing.
Data Handling: Experience working with large datasets, including data cleaning, transformation, and manipulation.
Bonus Points If You Have:
Cloud Expertise: Deep experience with AWS, GCP, or Azure (including cost optimization and serverless architecture).
Geospatial Skills: Experience with geospatial/GIS data processing using tools like PostGIS, GeoPandas, or Rasterio.
Industry Context: Previous work with IoT, satellite data, sensor networks, or environmental/weather data.
English & Spanish or French
📍 Multiple Locations: Mexico City, MX | Toronto, Canada | Denver, CO , Dallas, TX , others, US (Hybrid)
✉️ How to apply: Please reach out to me directly via DM to express your interest or learn more about the role! contact@wdna.com
