Sr. Data Engineer

Triumph Financial, Inc.; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Paid Time Off

401k

Job summary

Triumph Financial, Inc. is seeking a Senior Data Engineer to design, build, and optimize data pipelines and systems that support applications, analytics, and decision-making across the organization.

You’ll combine hands-on work with collaboration and strategic thinking to deliver reliable, accessible data for teams. You’ll partner with analytics and business teams to improve data models, implement data quality frameworks, and shape the long-term data platform strategy while promoting best

Qualifications

• Bachelor's degree preferred; equivalent experience considered.
• 3+ years of Python development and 5+ years of SQL experience.
• 5+ years of data modeling, schema design, and data processing systems.

Responsibilities

• Define and manage data assets and develop processes to populate data models.
• Build and maintain scalable data pipelines and integrations as data volume grows.
• Partner with analytics and business teams to improve data models and data accessibility.

Skills

Python

SQL

Data Modeling

Analytical thinking

Communication

Agile

Problem solving

Data wrangling

Education

Bachelor's degree

Tools

Snowflake

GitHub

ClickUp

AWS

Job description

Join Triumph!

At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That’s why we’re looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.

Position Summary:

Help shape how data powers better decisions at Triumph. As a Senior Data Engineer, you’ll design, build, and improve the data pipelines and systems that support business applications, analytics, and decision‑making across the organization. You’ll combine hands‑on technical work with collaboration and strategic thinking, helping teams get the reliable, accessible data they need while guiding best practices across the data engineering team.

Day in the Life

You’ll spend your day solving interesting data challenges, building scalable pipelines, and partnering with teams across the organization to turn business needs into effective data solutions. You’ll have the opportunity to work hands‑on while also helping shape the long‑term direction of our data platform. Whether you’re troubleshooting an issue, improving a data model, or collaborating on a new integration, you’ll play an important role in keeping our data reliable, available, and useful.

What You’ll Be Doing

• Define and manage data assets and develop processes to populate data models.
• Build and maintain scalable data pipelines and integrations as data volume and complexity grow.
• Partner with analytics and business teams to improve data models and make information easier to access and use.
• Develop data quality processes and monitoring to help ensure data is accurate, reliable, and available.
• Design, develop, and maintain data integrations and data quality frameworks.
• Analyze data to troubleshoot issues and help teams resolve them efficiently.
• Write unit and integration tests to support reliable, high‑quality solutions.
• Document technical work and contribute to engineering resources and best practices.
• Work with business and engineering teams to help shape the long‑term data platform strategy.
• Provide technical guidance and promote effective data engineering practices across the team.
• Demonstrate Triumph’s values and core tenets.
• Take on other responsibilities as needed.

What Makes You a Great Fit

• Bachelor’s degree in a related field preferred; equivalent experience will be considered.
• 3+ years of Python development and 5+ years of SQL experience.
• 5+ years of experience with data modeling, schema design, and data processing systems.
• Experience with Snowflake, GitHub, and ClickUp or a similar project management tool.
• Experience with cloud technologies, preferably AWS.
• Strong analytical, problem‑solving, and communication skills.
• Comfortable working independently and collaborating across teams.
• Self‑motivated, adaptable, detail‑oriented, and able to manage multiple priorities.
• Experience with Agile software development practices.

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We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.