Senior Data Engineer: Build Scalable Data Pipelines

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

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