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# Data Engineer/System Architect

- **Company:** Sandoval Technology Solutions LLC
- **Location:** San Antonio, TX, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Apache Hadoop, Python (Programming Language), Role-Based Access Control, Cloud Services, SQL Databases, Systems Architecture, Google Cloud, Apache Spark, Backend, Information Technology, Data Analytics, Data Pipelines, Databricks
- **Published:** September 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dba795058376ef47

## About the Role

* Bachelor's degree in Computer Science, Engineering, or a related field.
 * Proven experience working as a Data Engineer or System Architect.
 * Strong proficiency in programming languages such as Python, Java, or Scala.
 * Experience with data modeling, ETL development, and data warehousing.
 * Familiarity with cloud services (e.g., AWS, GCP, Azure) and big data technologies (e.g., Hadoop, Spark).
 * Excellent problem-solving skills and the ability to work in a fast-paced environment.

 * Army Vantage (Palantir Foundry)

 * Advana (Databricks/SQL)

 * Microsoft Dataverse (A365) backend, ensuring seamless data egress, schema linkage, and the strict enforcement of Role-Based Access Controls (RBAC).

## Description

We are seeking a Data Engineer/System Architect to design, implement, and maintain scalable data pipelines and infrastructure for our organization. The ideal candidate will be responsible for creating data models, optimizing data systems, and integrating them with various technologies., * Design and implement scalable data pipelines to process and store large volumes of data.

 * Develop and maintain data architectures, data models, and metadata systems.
 * Collaborate with cross-functional teams to integrate data systems and implement data-driven solutions.
 * Optimize and tune data systems for performance and reliability.
 * Implement security measures to protect data integrity and privacy.
 * Stay up-to-date with the latest trends and technologies in data engineering and system architecture.


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