Senior Data Engineer; Clearance Required- Senior Principal Consultant

Senior Data Engineer

Oracle GDI
- Government, Defense & Intelligence is seeking a highly experienced and motivated senior data engineer to join our Consulting Services organization to implement and manage data solutions on Oracle Cloud Infrastructure (OCI). This role will work closely with cross‑functional teams to optimize data pipelines, secure sensitive information, and ensure governance across the organization’s cloud data ecosystem on a modern domain‑driven autonomous data warehouse.

This role is a full-time, in-person position, primarily based in the office with occasional visits to client sites. We are seeking candidates who reside in the Virginia/Washington DC region.

Qualifications

Disclaimer:
Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only

US:
Hiring Range in USD from: $87,000 to $178,100 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre‑tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off:
  Flexible Vacation is provided to all eligible employees assigned to a salaried (non‑overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment.
  
  Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Key Responsibilities:

• Architect and implement secure and scalable data pipelines for data transformation enablement utilizing cloud‑based services.
• Collaborate with security, compliance, and governance teams to implement and maintain data protection strategies in line with corporate and regulatory requirements.
• Experience with data design and data modeling.
• Design and deliver solutions that ensure data confidentiality, integrity, and availability throughout data ingestion, processing, and storage life cycles.
• Build and manage metadata and cataloging frameworks to ensure data discoverability, lineage, and governance.
• Prepare, transform, and analyze large datasets for modeling and analytics to enhance data transformations.
• Build and maintain logical data models.
• Experience designing, building, and securing data on cloud platforms.

• Must possess or have the ability to obtain and maintain a TS/SCI security clearance with Polygraph.
• Experience designing, building, and securing data pipelines and platforms.
• Strong foundation in data security principles, compliance frameworks, and best practices.
• Experience automating data workflows and ETL processes in a secure, cloud‑based environment.
• Familiarity with scripting languages (Python, SQL, Shell) and Agile delivery methodologies.
• Excellent problem‑solving, collaboration, and communication skills.

• Oracle Cloud certifications (e.g., Oracle Cloud Data Management, Oracle Cloud Security)
• Experience with additional security and monitoring tools (e.g., Oracle SIEM, Oracle Cloud Guard)
• Familiarity with regulated environments
• Deep experience with data warehouse design
• Experience working with large datasets and designing solutions for data quality and governance

• Must possess a TS/SCI security clearance with Polygraph.

Join us to be part of a forward‑thinking team that’s pushing the boundaries of what’s possible in enterprise data engineering. Your expertise will help shape a scalable, reliable, and efficient data platform supporting mission‑critical business decisions.