Data Engineer

DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. They are seeking a Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across their enterprise platforms, contributing to the advancement of modern data and analytics architecture.

Responsibilities:

• 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
• Experience with front-end technologies such as React, Angular, or Vue
• Experience developing RESTful APIs using Node.js or Python
• Experience consuming REST and GraphQL APIs
• Strong understanding of source control and versioning practices using Git
• Experience supporting enterprise data and analytics platforms in cloud-native environments