Sr Database & Data Platform Engineer

This 12-month contract role is based in Santa Clara, California, and supports the design, modernization, and operation of database and data-platform capabilities for customer applications and analytics platforms. The engineer will partner with backend, frontend, analytics, and Power Platform engineers to build reliable, scalable, and observable data services.

Responsibilities:

• Design database architecture for CAE, Mission Control, and related SPT applications.

• Build and optimize schemas, queries, stored procedures, indexes, and data models.

• Develop reliable extract, transform, load (ETL) and extract, load, transform (ELT) pipelines between enterprise systems and customer platforms.

• Help standardize database application programming interfaces (APIs) and reusable data services.

• Troubleshoot database performance, reliability, and scalability issues.

• Support migration and modernization efforts, including SQL-to-PostgreSQL workloads.

• Collaborate with backend, frontend, analytics, and Power Platform engineers.

• Improve data quality, monitoring, observability, and automation.

Qualifications:

• Advanced SQL expertise and hands-on PostgreSQL experience.

• Strong knowledge of relational database design, database architecture, schemas, normalization, indexing, and query optimization.

• Experience developing ETL/ELT processes and production data pipelines.

• Experience with API-based data integration and integrating multiple enterprise data sources.

• Python experience for data processing and automation.

• Demonstrated performance-tuning and troubleshooting skills.

• Experience handling large-volume data and developing data models.

• Preferred: experience with Microsoft Fabric or Databricks, Splunk, SAP or other enterprise-system integrations, REST APIs or Model Context Protocol (MCP) integrations, Power BI backend/data models, cloud databases, CI/CD, Git, web applications, or analytics platforms.

Tools and Technologies: 

• SQL and PostgreSQL

• Python

• ETL/ELT pipelines and REST APIs

• Microsoft Fabric or Databricks

• Splunk and SAP

• Power BI

• Cloud database platforms

• Git and continuous integration/continuous delivery (CI/CD)