Triumph Financial
Sr. Data Engineer - Data Platform and Data Engineering - Remote US
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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. There is a fair amount of platform would that you'll do as well. 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
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