Data Engineer

Data Engineer Texans Credit Union - 3.2 Richardson, TX Job Details Full-time 10 hours ago Qualifications Data integrity assurance Data model design Dashboard development Commercial use (data warehousing systems) Performance dashboards Computer science Data Integration (Data management) Bachelor's degree in information technology Computer Science Data modeling projects Data validation techniques Data retrieval time improvement Dashboard creation support Mid-level Scalable systems Reporting and dashboarding tools Schema design SQL Data integrity and documentation Data Architecture Design (Architecture design skills) Bachelor's degree in engineering Data integrity process (data warehousing) Scalability Design thinking 1 year Business requirements Query management Bachelor's degree in computer science Technical architecture Data analytics technologies

Full Job Description Description:

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 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. 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.