Data Engineer

🕒 June 10

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DTN

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.

📋 Description

• Deliver trusted data sets and services from complex data sources and environments to support DTN customers and internal stakeholders • Support the development and delivery of modern data and analytics architecture through data integration, acquisition, and management solutions • Design, build, and maintain data pipelines and ingestion processes that ensure data quality, reliability, and scalability • Support customer and partner data infrastructure needs by troubleshooting technical issues and optimizing data environments • Contribute to the continuous improvement of data management standards, practices, and architectural patterns • Document data engineering processes, standards, and best practices to promote adoption across teams • Ensure data governance, security, and compliance requirements are incorporated into solution delivery • Identify opportunities to automate processes, reduce complexity, and improve operational efficiency through innovative data solutions • Develop reference architectures, standards, and documentation to support consistent approaches to data acquisition, transformation, storage, and analytics consumption

🎯 Requirements

• 2+ years of data engineering experience with pipelines, data ingestion, ETL/ELT processes, or 2+ years of software engineering experience • 2+ years of cloud experience, preferably across multiple cloud platforms • Strong programming skills in Python or other modern development languages such as Java or Go • Experience with ETL processes, SQL development, and data transformation workflows • Experience working with relational databases such as Oracle, PostgreSQL, or MySQL • Experience with AWS cloud services and cloud-based data platforms such as Snowflake or AWS-native solutions • Ability to design solutions that support data transformation, governance, workload management, and complex data structures • Experience with cloud architectures, highly available systems, and scalable solutions • Familiarity with Agile development methodologies and CI/CD practices • Experience with Docker and Kubernetes environments • Bachelor’s degree in Computer Science or equivalent experience

🏖️ Benefits

• 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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