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Data Engineer-Architecture

Job in El Paso, El Paso County, Texas, 88568, USA
Listing for: Raiz Federal Credit Union
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 83269 - 124903 USD Yearly USD 83269.00 124903.00 YEAR
Job Description & How to Apply Below

Job Details

Location:

Rojas - El Paso, TX 79936

Position Type:
Full Time

Employer:

Raiz FCU

Job Overview

Reports to the Business Intelligence and Analytics Manager. Responsible for mentoring the team on industry best practices and ensuring data pipelines solve business problems. Will optimize or redesign the company’s data architecture to support next‑generation products and initiatives. Plays a mission‑critical role in building the internal data warehouse, securing automated data pipelines, and enabling advanced analytics and AI across the enterprise.

Position

Details

Classification:
Exempt Work Site: 12020 Rojas Dr., ElPaso, TX 79936

Work Schedule:

Monday through Friday, occasional Saturdays

Salary

$83,269.00−$

Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, or related technical field
  • Minimum of 6 years of hands‑on experience in data engineering, platform engineering, or related roles
  • Minimum of 2 years of experience mentoring or leading technical team members
  • Expert‑level proficiency in SQL and Python for data processing and automation
  • Hands‑on experience with cloud data platforms (AWS, Azure, or GCP)
  • Production experience with data warehousing concepts: dimensional modeling, ELT/ETL pipelines, and MPP databases
  • Proficiency with Infrastructure‑as‑Code tools (Terraform, Cloud Formation, or similar)
  • Experience with containerization and orchestration (Docker, Kubernetes, Airflow, or similar)
  • Strong problem‑solving abilities with complex, distributed systems
  • Excellent communication skills for technical and non‑technical stakeholders
  • Experience with agile development methodologies and collaborative workflows
  • Demonstrated ability to balance technical debt with feature delivery
Preferred Qualifications
  • Master’s degree or advanced certifications (AWS Certified Data Engineer, Google Cloud Professional Data Engineer)
  • Financial services or regulated industry experience
  • Experience with modern data stack tools (dbt, Snowflake, Databricks, Airbyte)
  • Open‑source contribution history or technical blog or speaking experience
Role Description and Essential Duties
  • Design, implement, and maintain scalable batch and real‑time data ingestion pipelines supporting large volumes of daily data processing
  • Develop and maintain automated data quality monitoring systems, achieving 99.5% data accuracy SLAs across critical business processes
  • Build and optimize cloud‑based data infrastructure (AWS/Azure/GCP), including data warehouses, lakes, and processing frameworks
  • Define long‑term data platform architecture strategy and evaluate new technologies for organizational adoption
  • Lead evaluation, selection, and implementation of data tools and platforms, managing vendor relationships
  • Mentor junior engineers and system analysts through code reviews, architecture discussions, and hands‑on training
  • Participate in on‑call rotation for critical data systems
  • Identify and implement automation opportunities, reducing manual processes
  • Ensure compliance with all Bank Secrecy Act (BSA) rules and regulations and the Customer Identification Program (CIP), attending required annual BSA training and compliance training
  • Assist with all other duties as assigned or identified
Additional Details

Role requires independent decision‑making, cross‑functional collaboration, and a deep technical expertise. Any future obligations not listed under “Role Description and Essential Duties” will be identified as they arise.

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