Data Engineer
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Prepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
For decades, DTN has been the silent force behind some of the world's most critical industries-helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights-enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don't follow trends-we set the standard for precision, trust, and operational impact. DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we're accelerating growth and expanding our global footprint. Our purpose-built solutions-powered by AI and honed by decades of vertical expertise-are helping some of the world's most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world. J ob Description: DTN is seeking a results-driven Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across our enterprise platforms. This role plays a critical part in advancing DTN's modern data and analytics architecture while enabling customers and internal stakeholders to leverage trusted, scalable, and secure data solutions. The ideal candidate brings strong experience in data engineering, cloud technologies, and software development, along with a passion for building high-quality data pipelines, improving processes, and supporting data-driven decision-making across the organization. What You Will Be Responsible For 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 What You Will Bring to the Position 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 What Will Make You Stand Out 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 What You Can Expect from DTN 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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