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.
Job Description:
Position Summary:
We are seeking a passionate and versatile Senior Data Engineer to join our Ag data team. In this role, you will design solutions for large-scale complexity problems in data architecture and engineering while mentoring team members and driving continuous improvement. You’ll work on multi-disciplined teams in a collaborative environment with opportunities to play key roles in product planning, design, prototyping, and execution.
Role is remote, but candidate must live near Austin or Houston area.

What You’ll be Responsible for:

• Enable our DTN partners and customers through the delivery of trusted data sets and services from complex data sources and environments, supporting their data infrastructure needs, and solving technical issues with the data or environments.
• Be a key contributor in the delivery of our modern data and analytic architecture through execution and delivery of data management, data integration, and data acquisition patterns and pipelines.
• Design solutions for large-scale complexity data problems that are simple and easy to understand by others.
• Drive continuous improvement of internal processes, patterns and best practices to improve data quality, data management, security, performance, and team success.
• Ensure DTN’s data is governed and secured as part of solution delivery.
• Contribute to reference documentation to ensure reuse and consistency in how data is acquired, transformed, persisted, and consumed analytically at DTN through enterprise standard patterns, SODs, and reference architectures.
• Directly and indirectly mentor other data engineers to ensure team and department advancement.
• Collaborate with external teams to identify, triage, and resolve data quality issues.

What You’ll Bring to the Position:

• 5+ years of experience in data modeling and data engineering (pipelines, ingest, ETL/ELT), SQL, and Python for API and data development
• 5+ years of cloud experience (multiple vendors preferred) and cloud data platforms (Snowflake, AWS Native)
• Strong experience with databases including Oracle, Postgres, and MySQL
• Experience in automating data pipelines
• A customer centric mindset where you understand the benefits to the customer of timely high quality data
• Excellent communication skills across diverse audiences, leadership skills, and the ability to facilitate technical conflict resolution

Preferred Skills and Experience:
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Experience with modern tools for data transformations and automation such as PySpark, Jupyter, Hadoop, Spark, Apache Airflow, Argo Workflows, and AWS Step Functions

• Experience with AWS tooling like Athena, Lambda functions, Glue, RDS Postgres, Redis
• A quality and test-driven mindset tied with experience with data validation and test automation frameworks (e.g., pytest)
• Strong knowledge of best practices for data privacy, security, lifecycle management, and governance
• Experience in devops (CI/CD tools and pipelines) and Agile/SCRUM methodologies
• Proficiency in Linux/Unix command-line operations
• Hands-on experience with GIS/Spatial data

The targeted hiring base pay range for this position is between $101,250 and $151,000 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.

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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.

• Enable our DTN partners and customers through the delivery of trusted data sets and services from complex data sources and environments, supporting their data infrastructure needs, and solving technical issues with the data or environments.
• Be a key contributor in the delivery of our modern data and analytic architecture through execution and delivery of data management, data integration, and data acquisition patterns and pipelines.
• Design solutions for large-scale complexity data problems that are simple and easy to understand by others.
• Drive continuous improvement of internal processes, patterns and best practices to improve data quality, data management, security, performance, and team success.
• Ensure DTN’s data is governed and secured as part of solution delivery.
• Contribute to reference documentation to ensure reuse and consistency in how data is acquired, transformed, persisted, and consumed analytically at DTN through enterprise standard patterns, SODs, and reference architectures.
• Directly and indirectly mentor other data engineers to ensure team and department advancement.
• Collaborate with external teams to identify, triage, and resolve data quality issues