Data Engineer at Texans Credit Union

Richardson, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Pipeline Development, Data Modeling, Data Mart Design, Data Governance, Data Quality Assurance, Performance Optimization, Business Analysis, ETL, Data Architecture, KPI Definition, Analytical Solutions

Industry

Banking

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.

Responsibilities

The Data Engineer will design, develop, and maintain enterprise DataMarts and scalable data pipelines to transform complex data into business-ready datasets. They will collaborate with stakeholders to ensure data quality, integrity, and the delivery of reliable assets for reporting and advanced analytics.