Job description

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: Job Description: DTN is seeking a results-driven Sr. 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 batch and real-time streaming data architecture while enabling customers and internal stakeholders to leverage trusted, scalable, and secure data solutions. The ideal candidate brings expert experience in data engineering, cloud technologies, streaming data, 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 batch and streaming data integration, acquisition, and management solutions Design, build, and maintain batch and real-time streaming data pipelines and ingestion processes that ensure data quality, reliability, and scalability Architect and manage high-throughput event streaming solutions utilizing Apache Kafka and Amazon Kinesis 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 7 years of data engineering experience with batch and streaming pipelines, data ingestion, ETL/ELT processes, or 2 years of software engineering experience Proven experience designing and implementing streaming data architectures, message brokering, and real-time event processing using Apache Kafka and AWS Kinesis 4 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 stream processing frameworks such as Apache Flink or Spark Streaming 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) Compensation The targeted hiring base pay range for this position is between $109,400 and $145,800. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits. #LI-REMOTE #LI-DY1 About DTN: DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights—empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world. At DTN, we value clarity, trust , and action . We’re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters – and that mission is at the core of what we do. Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable. Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act. Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts. Future-Forward: We see what’s coming- and we’re ready. We help customers lead through change with smarter decisioning. Recruitment Fraud Notice: DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process. If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers dtn.com to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam. DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.

Requirements

Must-haves

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 batch and streaming data integration, acquisition, and management solutions
Design, build, and maintain batch and real-time streaming data pipelines and ingestion processes that ensure data quality, reliability, and scalability
Architect and manage high-throughput event streaming solutions utilizing Apache Kafka and Amazon Kinesis
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
7 years of data engineering experience with batch and streaming pipelines, data ingestion, ETL/ELT processes, or 2 years of software engineering experience
Proven experience designing and implementing streaming data architectures, message brokering, and real-time event processing using Apache Kafka and AWS Kinesis
4 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

Nice-to-haves

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Keywords to mirror

aiawspythonjavagosqlagileci/cddockerkubernetesreactangularvuenode.jsrestgraphql

Platform: workday
Effort: long

Benefits

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Dental

Vision

401k

Pto