Senior Support Engineer, Product Data Quality & Resolution

Oracle

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Work type
On-site
Location
Houston, TXAustin, TXNashville, TN
Posted
13 days ago
Freshness
Confirmed live today

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Similar $177k
$127k $226k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $137,000–$216,250.

Based on 240 similar postings.

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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Senior Support Engineer, Product Data Quality & Resolution

The Senior Support Engineer, Product Data Quality & Resolution, joins a global operational team to investigate and resolve complex product-data issues that hinder hardware onboarding into data centers. This role involves performing technical triage, identifying root causes, and recommending corrective actions for critical operational incidents. You will monitor daily manufacturing data feeds, write SQL queries to examine raw database records, and interpret XML and JSON data to identify formatting errors. The position requires utilizing REST services and Python for data validation and analysis. You will collaborate with manufacturing partners and engineering teams to ensure data quality across server and rack-level hardware configurations. Key responsibilities include producing root cause analyses, managing support tickets, and developing troubleshooting documentation to improve systemic data quality and hardware onboarding processes.

What you'll do

  • Investigate and resolve complex product-data issues that prevent hardware from being onboarded into data centers.
  • Perform technical triage and root cause analysis using SQL queries to examine raw database records.
  • Monitor daily manufacturing data feeds to identify data-quality issues and operational exceptions.
  • Interpret XML and JSON data to identify missing, incorrect, or improperly formatted product information.
  • Utilize REST services and Python to retrieve, validate, and transform product data for technical investigations.
  • Recommend and track systemic improvements to address underlying process issues and minimize future recurrence.
  • Produce clear investigation reports, technical documentation, and operational knowledge articles.
  • Coordinate technical investigations with global manufacturing partners and cross-functional engineering teams.

What we're looking for

  • Applicants must have 3 to 5+ years of experience.
  • Applicants must be able to read, write, and speak English.
  • Experience writing SQL queries for technical investigation and data analysis is required.
  • Strong Microsoft Excel skills for data analysis and reporting are required.
  • Ability to read and interpret XML and JSON data is required.
  • Experience working with REST APIs and related data sources is required.
  • Basic Python programming skills for data analysis and automation are required.
  • Familiarity with server and rack-level hardware, configuration, and topology is required.

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