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Full Time Dlp Analyst Jobs in Chicago, IL (NOW HIRING)

Breakthru

Senior IT Security Engineer

Cicero, IL · Hybrid

$92K - $120K/yr

Time Type: Full time Remote Type: Job Family Group: Information Technology Summary: The Senior IT ... Providing deep technical analysis and support of security incidents * Managing the compliance of ...

NorthShore

Security Engineer II

Skokie, IL · On-site

$46.64 - $72.29/hr

Security Engineer II * Location: 4901 Searle Parkway, Skokie IL (flexible) * Full Time * Hours ... Minimum three (3) years of mid-level Cybersecurity experience at an analyst or engineer level.

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Full Time Dlp Analyst information

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$10

$51

$72

How much do full time dlp analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for full time dlp analyst in Chicago, IL is $51.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $61.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time DLP Analyst, and why are they important?

To thrive as a Full Time DLP Analyst, you need a solid understanding of data loss prevention concepts, information security principles, and experience with incident response, typically supported by a degree in cybersecurity or a related field. Familiarity with DLP tools such as Symantec, Forcepoint, or Microsoft DLP solutions, as well as relevant certifications like CompTIA Security+ or CISSP, is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for investigating alerts and collaborating with stakeholders. These skills and qualities are essential for effectively protecting sensitive data, mitigating risks, and ensuring regulatory compliance within an organization.

What are some common challenges Full Time DLP Analysts face when implementing data loss prevention policies across an organization?

Full Time DLP Analysts often encounter challenges such as balancing strict data protection with user productivity, adapting policies to evolving business needs, and ensuring compliance across multiple departments. They may need to collaborate closely with IT, legal, and business teams to tailor DLP rules that protect sensitive information without disrupting workflows. Keeping up with new data types and communication channels also requires ongoing learning and adjustment of DLP strategies.

What are Full Time DLP Analysts?

Full Time DLP (Data Loss Prevention) Analysts are cybersecurity professionals who specialize in identifying, monitoring, and preventing unauthorized access or transmission of sensitive data within an organization. Their primary role involves implementing and managing DLP solutions, investigating security incidents, and ensuring compliance with data protection regulations. They work closely with other IT and security teams to develop policies, conduct regular audits, and provide recommendations for improving data security. Full Time DLP Analysts play a crucial role in safeguarding an organization’s confidential information from internal and external threats.
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Full Time Dlp Analyst jobs near you
Automation Enablement Engineer

Automation Enablement Engineer

CoSourcing Partners

Chicago, IL • Hybrid

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Automation Enablement Engineer
Company: Confidential
Employment Type: Fulltime
Location: Omaha, Nebraska and Chicago, IL
Job Description:
Reporting to the Intelligent Automation Manager, you will join our Global Client as an Automation Enablement Engineer, driving enterprise adoption of intelligent automation and generative AI capabilities. You will combine software engineering, automation design, and applied AI development to deliver scalable solutions that enhance productivity, improve decision-making, and modernize business processes across the organization. This hybrid role offers the opportunity to collaborate with platform engineers, architects, and business stakeholders to design and deploy intelligent copilots, chatbots, and automated workflows using cutting-edge technologies like Microsoft 365 Copilot, Azure OpenAI, Power Platform, and UiPath.
Your Impact:
  • Design, develop, and deploy custom copilots, chatbots, and AI assistants using Azure OpenAI, Copilot Studio, and Power Platform AI Builder.
  • Create, test, and optimize prompt engineering frameworks, embeddings, and retrieval-augmented generation (RAG) architectures.
  • Integrate LLMs with enterprise data sources via APIs, connectors, and secure knowledge bases.
  • Develop and maintain end-to-end process automations using Power Automate, UiPath, or Logic Apps.
  • Orchestrate automation flows that leverage AI insights for decision-making and user engagement.
  • Build reusable components, templates, and connectors for repeatable automation patterns.
  • Partner with business process owners to analyze pain points and translate them into intelligent workflows.
  • Administer and govern Microsoft Power Platform and UiPath environments, including DLP policies, ALM pipelines, tenant administration, and CI/CD deployment.
  • Ensure solutions meet security, compliance, and performance standards defined by IT governance.
  • Support proof-of-concept and pilot projects for business units and provide technical coaching to COE champions and power users.
  • Contribute to documentation, playbooks, and internal training content.

Your Experience:
  • BS/BA in Computer Science, Information Systems, Engineering, or related field (Master's preferred).
  • 5+ years of experience in software development, automation, or applied AI engineering.
  • Expertise with Azure AI services (Azure OpenAI, Cognitive Services) and Power Platform tools (Power Automate, Power Apps, Dataverse).
  • Experience with UiPath RPA development and administration (cloud and on-premises).
  • Proficiency in scripting languages such as PowerShell, Python, C#, Terraform, or TypeScript.
  • Strong understanding of API development and integration (REST, Graph).
  • Knowledge of data privacy, responsible AI, and automation governance principles.
  • Familiarity with Microsoft 365 Copilot and enterprise-scale deployment concepts.
  • Excellent communication, problem-solving, and planning skills.
  • Experience interacting with vendors and IT outsourcing partners.
  • Collaborative mindset with flexibility in a fast-changing environment.
  • Number of Days in Office: 3

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