Sandoval Technology Solutions LLC is hiring a Data Engineer/System Architect in San Antonio, TX (onsite). In this role, you will design and build scalable data pipelines and data infrastructure, with a focus on strong data models, reliable performance, and practical integration across technologies.
What you’ll build and improve
You will take ownership of the data foundation that powers data-driven work. The focus includes designing and implementing pipelines for large-scale data processing and storage, building data architectures and models, and maintaining metadata systems that make data easier to manage and reuse. You will also collaborate with cross-functional teams to integrate data systems and deliver solutions that support business needs.
- Design and implement scalable data pipelines for processing and storing large volumes of data
- Develop and maintain data architectures, data models, and metadata systems
- Integrate data systems with cross-functional teams to enable data-driven solutions
- Optimize and tune data systems for performance and reliability
- Implement security measures to protect data integrity and privacy
- Stay current with trends and technologies in data engineering and system architecture
Key skills and experience
The ideal candidate brings hands-on experience designing data systems, strong programming ability, and practical knowledge of data modeling, ETL, and warehousing. You will also need experience working across cloud and big data technologies, along with strong problem-solving skills in a fast-paced environment.
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Proven experience working as a Data Engineer or System Architect
- Strong proficiency in Python, Java, or Scala
- Experience with data modeling, ETL development, and data warehousing
- Familiarity with cloud services such as AWS, GCP, and Azure, plus big data technologies like Hadoop and Spark
- Excellent problem-solving skills and ability to work in a fast-paced environment
Tools and technologies
You’ll work across a modern data stack and analytics platforms, including:
- Python, Java, Scala
- ETL, data warehousing
- AWS, GCP, Azure
- Hadoop, Spark
- Army Vantage (Palantir Foundry)
- Advana (Databricks/SQL)
- Microsoft Dataverse (A365)