Data Engineer

Texans Credit UnionRichardson, TX

About The Position

At Texans Credit Union, great data powers exceptional member experiences. We’re looking for a Data Engineer to build and optimize scalable data pipelines, ensure data quality, and enable reliable, data-driven decision-making across the organization. This role offers the opportunity to make a meaningful impact by strengthening our data foundation and turning complex data into actionable insights.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent certifications.
  • Minimum one to three years of similar or related experience.

Responsibilities

  • Design, develop, and maintain enterprise DataMarts that transform complex, disparate data sources into structured, business-ready datasets.
  • Apply advanced SQL expertise to build, optimize, and manage data transformations, aggregations, and logic supporting reporting and analytics.
  • Develop and maintain scalable data pipelines to ensure timely, accurate, and efficient data processing across systems.
  • Translate business requirements into well-defined data models, ensuring consistency, usability, and alignment with enterprise data standards.
  • Ensure data quality, integrity, and governance across the data lifecycle, including validation, reconciliation, and documentation of business logic.
  • Optimize data models and queries for performance, scalability, and maintainability in analytics environments.
  • Partner with data analysts, data scientists, and business stakeholders to design reusable, high-value data assets that support reporting and advanced analytics.
  • Drive data design thinking, creating standardized, scalable structures that enable consistent KPI definitions and reporting accuracy.
  • Support the development of dashboards and analytical solutions by delivering clean, reliable, and well-modeled datasets.
  • Identify opportunities to improve data architecture, reduce redundancy, and enhance data accessibility across the organization.
  • Communicate data structures, definitions, and insights effectively to both technical and non-technical audiences.
  • Perform other duties as assigned and adhere to all organizational policies, procedures, and business ethics standards.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
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