Palo IT is seeking a skilled Data Engineer to specialize in weather data processing and analysis. In this role, you will design robust data pipelines to handle meteorological datasets, enabling advanced forecasting and insights for our clients in environmental and agricultural sectors.

As a Data Engineer (Weather Data) at Palo IT, you will play a pivotal role in transforming raw meteorological data into actionable insights. Our company specializes in innovative IT solutions for environmental monitoring, and your expertise will help us deliver high-quality data infrastructure to support weather prediction models, climate analysis, and agricultural planning tools.

Key responsibilities include designing and implementing scalable data pipelines to ingest, clean, and store vast amounts of weather-related data from various global sources. You will collaborate with data scientists and software developers to ensure data integrity and availability, while optimizing systems for performance and cost-efficiency. Additionally, you will troubleshoot data issues, automate processes, and contribute to the evolution of our weather data platform.

This remote contract position offers the chance to work on impactful projects that contribute to sustainability efforts worldwide. If you are passionate about data engineering and have a keen interest in environmental data applications, join our dynamic team at Palo IT.

• Bachelor's degree in Computer Science, Data Engineering, or a related field
• 3+ years of experience in data engineering, with a focus on ETL processes and data warehousing
• Proficiency in Python, SQL, and tools like Apache Spark or Kafka for handling large-scale data streams
• Experience working with weather data sources such as APIs from NOAA, ECMWF, or similar services
• Knowledge of cloud platforms (AWS, Azure, or GCP) for data storage and processing
• Strong problem-solving skills and ability to optimize data workflows for real-time applications
• Familiarity with version control systems like Git and agile methodologies

• Competitive monthly salary in the range of $4500 - $6500 USD
• Fully remote work arrangement with flexible hours
• Comprehensive health and dental insurance coverage
• Opportunities for professional development and certifications in data technologies
• Paid time off and remote work stipend for home office setup
• Collaborative team environment with access to cutting-edge tools and resources
• Potential for long-term contracts leading to full-time opportunities