Sr Database & Data Platform Engineer
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Role details
Tech stack
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Job description
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:
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Design database architecture for CAE, Mission Control, and related SPT applications.
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Build and optimize schemas, queries, stored procedures, indexes, and data models.
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Develop reliable extract, transform, load (ETL) and extract, load, transform (ELT) pipelines between enterprise systems and customer platforms.
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Help standardize database application programming interfaces (APIs) and reusable data services.
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Troubleshoot database performance, reliability, and scalability issues.
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Support migration and modernization efforts, including SQL-to-PostgreSQL workloads.
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Collaborate with backend, frontend, analytics, and Power Platform engineers.
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Improve data quality, monitoring, observability, and automation.
Requirements
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Advanced SQL expertise and hands-on PostgreSQL experience.
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Strong knowledge of relational database design, database architecture, schemas, normalization, indexing, and query optimization.
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Experience developing ETL/ELT processes and production data pipelines.
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Experience with API-based data integration and integrating multiple enterprise data sources.
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Python experience for data processing and automation.
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Demonstrated performance-tuning and troubleshooting skills.
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Experience handling large-volume data and developing data models.
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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:
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SQL and PostgreSQL
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Python
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ETL/ELT pipelines and REST APIs
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Microsoft Fabric or Databricks
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Splunk and SAP
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Power BI
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Cloud database platforms
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Git and continuous integration/continuous delivery (CI/CD)
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