Consulting Technical Manager, AI Data Engineer

Oracle

Quick summary

Work type
On-site
Location
Reston, VA
Salary
$87,000–$187,000 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $137k
$69k most similar roles pay here $253k

This role pays less than 92% of similar roles. Most pay $162,000–$235,000 — the shaded band above. At the midpoint, this role pays about $137k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

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

Oracle currently has 650 open roles on FindRole.

Listed pay typically runs $99,600–$209,500 across 472 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Consulting Technical Manager, AI Data Engineer

As a Consulting Technical Manager and AI Data Engineer at our Reston, VA office, you will join a dynamic team as an individual contributor to design, build, and optimize cloud-based data pipelines and AI platforms supporting enterprise-scale initiatives in the Intelligence Community. Your daily tasks will involve architecting Oracle databases, implementing ETL processes for large datasets, and managing geospatial intelligence data. You must be proficient with shell scripting, Python, Kubernetes, and familiar with Cloud platforms like Oracle, AWS, Azure, or GCP. Additionally, you should possess strong communication skills to collaborate effectively across cross-functional teams including data scientists and business analysts. This role requires a Bachelor’s degree in computer science or related field, at least 8 years of relevant experience, and the ability to obtain TS/SCI eligibility with polygraph clearance.

What you'll do

  • Design and build cloud-based data pipelines and AI data platforms for enterprise-scale initiatives.
  • Optimize Oracle databases and manage geospatial intelligence data in high-volume environments.
  • Implement ETL processes for large-scale data systems, ensuring efficient data transformations.
  • Architect and maintain secure data governance practices, including metadata management and lineage.
  • Collaborate with cross-functional teams to integrate multi-modal databases supporting various data types.
  • Obtain and maintain TS/SCI eligibility with polygraph clearance.

What we're looking for

  • 8+ years of experience in data engineering, ETL development, and database management
  • Expertise in Oracle databases and cloud platforms like AWS, Azure, or GCP
  • Strong knowledge of ETL pipeline design and implementation for large-scale systems
  • Experience with geospatial intelligence data (vectors and rasters)
  • Proficiency in shell scripting, Python, and container technologies like Kubernetes
  • Ability to obtain and maintain TS/SCI eligibility with polygraph clearance required
  • Excellent verbal and written communication skills for documenting and presenting solutions

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