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Remote Data Protection Jobs in Washington (NOW HIRING)

T-Rex Solutions

Purview Administrator

Washington, DC · On-site +1

$115K - $145K/yr

This role can be performed on-site in Washington, DC if local to the area, or up to 100% remote ... Respond to data protection incidents and participate in security investigations. * Manage and ...

T-Rex Solutions

Purview Administrator

Washington, DC · On-site +1

$115K - $145K/yr

This role can be performed on-site in Washington, DC if local to the area, or up to 100% remote ... Respond to data protection incidents and participate in security investigations. * Manage and ...

Tuckernuck

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

... Data. This position can be based in our Washington, DC Headquarters office or remote. Core ... protection regulations. Minimum Qualifications * You have worked in a data-centric role for at ...

Tuckernuck

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

... Data. This position can be based in our Washington, DC Headquarters office or remote. Core ... protection regulations. Minimum Qualifications * You have worked in a data-centric role for at ...

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Remote Data Protection information

What is a Remote Data Protection job?

A Remote Data Protection job involves securing and managing sensitive digital information for organizations while working remotely. Responsibilities typically include implementing encryption protocols, monitoring for security threats, ensuring compliance with data privacy regulations, and developing disaster recovery plans. Professionals in this role work with cybersecurity tools to prevent data breaches and unauthorized access. Strong knowledge of data security frameworks and cloud protection strategies is often required.

What are some typical challenges faced in a Remote Data Protection role?

Professionals in Remote Data Protection often encounter challenges related to securing a distributed workforce, ensuring compliance with varied international regulations, and quickly addressing emerging security threats. Working remotely can mean managing security for diverse endpoints and collaborating across different time zones or teams. Staying current with evolving data privacy laws and adapting to new technologies are key ongoing tasks. Employers value candidates who can proactively identify vulnerabilities and implement robust protection measures while maintaining strong communication with non-technical colleagues.

What are the key skills and qualifications needed to thrive in the Remote Data Protection position, and why are they important?

To thrive in Remote Data Protection, you need a solid understanding of data privacy laws, risk management, and cybersecurity principles, typically supported by a degree in computer science, information security, or a related field. Familiarity with security frameworks, encryption tools, DLP (Data Loss Prevention) solutions, and certifications such as CISSP, CISM, or GDPR compliance are highly valued. Strong analytical thinking, attention to detail, and effective remote communication are essential soft skills for this role. Mastering these competencies ensures sensitive information remains secure and regulatory requirements are met in a distributed environment.

What are the most commonly searched types of Data Protection jobs in Washington? The most popular types of Data Protection jobs in Washington are:
What are popular job titles related to Remote Data Protection jobs in Washington? For Remote Data Protection jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Protection jobs in Washington look for? The top searched job categories for Remote Data Protection jobs in Washington are:
What cities in Washington are hiring for Remote Data Protection jobs? Cities in Washington with the most Remote Data Protection job openings:
Remote Data Protection jobs near you
Infographic showing various Remote Data Protection job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior AI Data Integration Engineer

Northhill Technology

Mclean, VA • On-site, Remote

$107K - $145K/yr

Full-time

Posted 15 days ago

Job description

NorthHill Technology Resources has an urgent need for a Senior Data Integration Engineer for a cutting-edge opportunity in Mclean, VA.This is a direct-hire role with our client, a highly respected banking organization,It is a hybrid role, with 3 days onsite and 2 remote per week.
Position Summary
Own the bank's approved knowledge and systems layer for AI by implementing secure grounding on enterprise content, approved connectors, permissions-aware retrieval, and DLP-aligned data handling. This role includes the immediate masking and unmasking path for SharePoint-accessed content using Presidio and Protect.
Core Responsibilities
  • Build and maintain secure grounding patterns for approved content repositories and internal business systems, starting with SharePoint and other governed enterprise sources.
  • Implement approved connectors and retrieval workflows with permissions-aware access, source traceability, and controls that scope retrieval to the minimum necessary data.
  • Implement and support Presidio and Protect for immediate masking and unmasking of SharePoint-accessed content before it is released to approved AI workflows.
  • Partner with Security, IT, Information Governance, and business owners on DLP, sensitivity labels, metadata, redaction, and data-handling controls for AI retrieval paths.
  • Improve retrieval quality, metadata standards, and integration reliability across structured and unstructured sources so answers remain grounded and supportable.
  • Create reusable onboarding standards for new content sources, including access review, logging expectations, retention considerations, and validation before activation.
  • Engineer retrieval services that preserve permissions inheritance and return provenance metadata sufficient to support reviewer verification, citations, and audit traceability.
  • Build validation checklists for new repositories, connectors, content types, and SharePoint masking flows before they are exposed to employee-facing copilots or higher-risk governed workflows.
  • Partner with Guardrails and Application teams to tune retrieval quality, reduce hallucination risk, and enforce least-privilege data access across approved workflows.
  • Support secure integration patterns for approved enterprise AI platforms, including Claude Cowork and related retrieval-dependent tools, where grounding, connector behavior, provenance controls, and masking services must be enforced.

Control Requirements
  • Implement connector and retrieval logging that supports audit trails for what data sources were accessed, by whom, and under what approved workflow where the platform supports it.
  • Design integrations to respect data minimization, permissions inheritance, read-only access where required, and restrictions on shared file write or delete behavior.
  • Help operationalize immediate compensating controls for PII or NPI workflows, including Presidio and Protect for SharePoint-accessed content, with documented fallback redaction controls and QA where needed.
  • Coordinate evidence and metadata standards so approval artifacts, retrieval traces, and content-source onboarding records can be retained in the governance repository.
  • Contribute technical review for plugins, custom MCP servers, and other integrations that expose enterprise systems to AI workflows.

Required Qualifications
  • 6+ years in data engineering, integrations, enterprise search, retrieval engineering, knowledge systems, or content-platform engineering.
  • Hands-on experience with APIs, enterprise content platforms, permissions models, identity-aware retrieval, and reliable integration patterns across heterogeneous data sources.
  • Strong understanding of data classification, DLP concepts, metadata, lifecycle and retention considerations, and enterprise content governance.
  • Ability to troubleshoot retrieval quality, indexing, connector reliability, and source traceability in document-heavy environments.
  • Experience documenting standards so new data sources can be onboarded repeatedly without creating inconsistent control behavior.

Preferred Qualifications and Skills
  • Experience with SharePoint, Microsoft Graph, Copilot Studio grounding patterns, semantic search, vector or hybrid retrieval, and enterprise content systems used in regulated environments.
  • Exposure to legal, trust, compliance, HR, or document-heavy operational processes where permissions and provenance matter.
  • Financial services or other regulated-data experience with practical awareness of privacy, records, and audit obligations.
  • Hands-on experience with Presidio, Protect, or comparable masking, redaction, and data-protection tooling that can support controlled AI workflows.
  • Experience supporting Claude Cowork or similar enterprise AI platforms where retrieval, knowledge access, and provenance controls matter.
  • Familiarity with Claude Code or comparable AI-assisted engineering tools for connector development, debugging, and integration acceleration.

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