Senior Data Engineer

🕒 September 25

🤠 Texas – Remote

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⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Logo of Centex Technologies

Centex Technologies

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Centex Technologies is a leading company in the IT industry, recognized for its expertise in cybersecurity, digital transformation, DevOps, and forensic investigations. Established in 2006, Centex Technologies provides innovative, secure, and efficient IT solutions to diverse clients across the public and private sectors. The company prides itself on fostering long-term relationships with clients and aims to catalyze impactful change and growth through tailor-made solutions. With a robust presence throughout the United States and a strategic team located in Texas, Colorado, Florida, and the Washington Metropolitan area, Centex Technologies is committed to elevating client operations and achieving success in every project.

📋 Description

• Build the Air Force Data Mesh Environment by combining reliable data engineering with modern application development • Support governed discovery, access, and interoperability for distributed data products • Design scalable ETL and ELT pipelines, data models, and orchestration workflows using Airflow, Dagster, dbt, and Python • Develop application features and APIs with TypeScript, React, and Node.js • Apply SQL, warehouse platforms, validation, observability, and automated tests throughout the data lifecycle • Work with product, DevOps, infrastructure security, and mission stakeholders to turn requirements into maintainable software • Design secure access and handling for sensitive data consistent with project security requirements • Support Air Force government contract work

🎯 Requirements

• US Citizen • Active Secret clearance • Demonstrated experience spanning both data infrastructure and full stack application development • Strong TypeScript, React, Node.js, SQL, warehousing, and orchestration experience • Experience with API design, containerization, and engineering quality practices • Preferred: Python data tools, stream processing, or event driven architecture • Preferred: Production ML integration, RAG or LLM applications, and MLOps • Preferred: Experience with CUI, NIST controls, STIGs, or DoD authorized environments

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