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Data Engineer

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Texans Credit Union
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Type

Full-time

Position Purpose and Objectives

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.

Major Duties and Essential Functions
  • Embrace the core values of Texans Credit Union: excellence, people, integrity, and collaboration.
  • Design, develop, and maintain enterprise Data Marts 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.
Positions Directly Supervised

None

Requirements

Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent certifications.

Experience: Minimum one to three years of similar or related experience.

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