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DTN is a global data and technology company that helps operational leaders in energy, agriculture, and weather‑driven industries make faster, smarter decisions.

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the evolution of our modern data and analytics architecture. This role ensures the quality, integrity, reliability, governance, and scalability of DTN’s data ecosystem while driving architectural improvements that support both 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits

• Competitive salary
• Unlimited PTO
• Flexible working hours
• Remote work model (position dependent)
• Competitive medical, dental, and vision insurance plans
• 6% 401(k) matching
• Unlimited access to 13k+ courses via learning platform to support employee career advancement
• Employee Assistance Program (EAP)

Compensation

Targeted hiring base pay range: $120,000 – $145,000. This role may also be eligible for market‑competitive variable pay and benefits. Base pay offered will depend on experience, education, and other factors.

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.