Sr Database & Data Platform Engineer

Job Cloud Inc.
Santa Clara, CA, United States
25 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Business Analytics Applications Data Analysis Cloud Database Databases Continuous Delivery Continuous Integration Data as a Services Data Infrastructure Data Integration Extract Transform Load (ETL) Database Applications
+25 more
Relational Databases Python (Programming Language) PostgreSQL Operational Databases Performance Tuning Query Optimization Power BI SAP (Applications) SQL Stored Procedures SQL Databases Systems Integration Web Applications Data Processing Database Performance Indexer Backend Git Microsoft Fabric Front End Software Development Api Design Restful APIs Model Context Protocol Splunk Data Pipelines Databricks

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:

  • 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.

Requirements

  • 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)

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