Senior Data Engineer

DTN, LLC
United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$120,000.0 - $145,000.0
Working hours
Shift work
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Amazon Web Services Business Analytics Applications Microsoft Azure Big Data Software as a Service Cloud Computing Cloud Engineering Data Architecture Information Engineering Data Governance
+31 more
Data Infrastructure Data Integration Extract Transform Load (ETL) Data Transformation Data Systems Relational Databases Database Development Data Intelligence PostgreSQL MySQL Node.Js Oracle (Applications) Cloud Services Software Engineering Management of Software Versions ReactJS Snowflake Git Vue.js AngularJS Information Technology Data Analytics Graphql Data Management Front End Software Development Cloud Migration Restful APIs Software Version Control Data Pipelines Api Management Docker

Job description

DTN is seeking a highly skilled Senior Data Engineer to help lead the evolution of our modern data and analytics architecture. This role is responsible for ensuring the quality, integrity, reliability, governance, and scalability of DTN’s data ecosystem while driving architectural improvements that support both internal teams and external customers.

The ideal candidate brings deep expertise in data engineering, cloud architecture, and software development, along with a passion for designing enterprise-grade data solutions, mentoring technical teams, and enabling data-driven innovation across the organization.

What You Will Be Responsible For

  • 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

Do you have experience in Version control?, Do you have a Bachelor’s degree?, * 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

What Will Make You Stand Out

  • 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 & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Unlimited paid time off
  • Employee assistance program
  • 401(k) 6% Match, * 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), The targeted hiring base pay range for this position is between $120,000 and $145,000 . 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.

About the company

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., 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.

You must create an Indeed account before continuing to the company website to apply

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:18 min

Scaling MySQL databases for massive user growth

Johannes Nicolai Johannes Nicolai +1 · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all