
1001 - 5000 employees
🌾 Agriculture
💰 Grant on 2014-09
Agriculture • Aviation • Utilities & Renewable Energy
DTN is a data and analytics company that provides operational intelligence to various industries, including agriculture, aviation, transportation, and utilities. They offer a range of products, including weather insights, market data, and analytical tools designed to improve decision-making and reduce risks for their clients. Their solutions, such as ClearAg® and WeatherOps®, leverage advanced technology and data analytics to help customers manage their operations effectively and adapt to changing environmental conditions.
🔥 0 minutes ago
AWS
Azure
Cloud
Docker
ETL
Google Cloud Platform
GraphQL
JavaScript
Kubernetes
MySQL
Node.js
Oracle
Postgres
Python
SQL
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1001 - 5000 employees
🌾 Agriculture
💰 Grant on 2014-09
Agriculture • Aviation • Utilities & Renewable Energy
DTN is a data and analytics company that provides operational intelligence to various industries, including agriculture, aviation, transportation, and utilities. They offer a range of products, including weather insights, market data, and analytical tools designed to improve decision-making and reduce risks for their clients. Their solutions, such as ClearAg® and WeatherOps®, leverage advanced technology and data analytics to help customers manage their operations effectively and adapt to changing environmental conditions.
• Architect and deliver trusted data sets and services from complex data sources and environments for DTN customers and partners • Design and implement modern data and analytics architectures, establishing best practices for data integration, acquisition, and management • Provide expert-level support for complex data infrastructure and technical challenges • Lead continuous improvement initiatives across data management standards, patterns, and engineering practices • Develop and maintain enterprise documentation, standards, reference architectures, and reusable patterns for data acquisition, transformation, storage, and analytics consumption • Ensure data governance, security, and compliance standards are implemented consistently across solutions • Identify opportunities to improve internal processes through automation, innovation, and scalable data infrastructure solutions • Establish architectural direction and technical standards across the Data and Analytics domain • Mentor junior data engineers and provide technical leadership to cross-functional teams
• 7+ years of data engineering experience, including data pipelines, ingestion, ETL/ELT processes, and large-scale data solutions • 5+ years of cloud experience across platforms such as AWS, Azure, and/or GCP • Advanced Python development skills for API, web, and data engineering applications • Strong experience with ETL processes, SQL development, and data transformation methodologies • Expert-level knowledge of relational database technologies including Oracle, PostgreSQL, and MySQL • Deep expertise in AWS cloud services and cloud-native architecture patterns • Experience with cloud data platforms such as Snowflake and AWS-native analytics solutions • Experience building and managing cloud and legacy infrastructure environments • Experience designing and developing RESTful APIs using Node.js • Strong understanding of REST and GraphQL API integrations and consumption patterns • Working knowledge of source control and versioning practices using Git • Experience designing highly available, scalable, and high-performance systems • Experience working within Agile development environments and CI/CD pipelines • Experience with Docker and Kubernetes technologies • Bachelor’s degree in Computer Science or equivalent experience
• Competitive Salary • Unlimited PTO • Flexible working hours • Remote work model (position dependent) • Competitive Medical, Dental and Vision Insurance Plans • 6% 401K matching • Unlimited access to 13k+ courses via learning platform to support employee career advancement • Employee Assistance Program (EAP)
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