Senior Data Engineer

DTN is a global data and technology company that helps operational leaders in various industries make smarter decisions. They are seeking a Senior Data Engineer to lead the evolution of their data and analytics architecture, ensuring data quality and driving improvements to support internal teams and external customers.

Responsibilities:

• 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

Requirements:

• 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
• Experience with front-end technologies such as React, Angular, or Vue
• Experience designing enterprise-wide data architectures and governance frameworks
• Experience leading cloud modernization and large-scale data transformation initiatives
• Experience mentoring engineers and providing technical leadership within distributed teams
• Strong background supporting analytics-driven or data-intensive SaaS platforms