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Data Security Engineer Jobs in Chicago, IL (NOW HIRING)

CIBC

Data Security Consultant

Chicago, IL · On-site +1

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

CIBC US

Data Security Consultant

Chicago, IL · On-site +1

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

CIBC

Data Security Consultant

Chicago, IL · On-site

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

CIBC

Data Security Consultant

Chicago, IL · On-site +1

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

USM

Fulltime : SR. Network Security Engineer

Schaumburg, IL · On-site

$57.50 - $75/hr

Role : SR. Network Security Engineer LOCATION : Schaumburg IL Duration : Fulltime Must be US ... Perform analysis and prepare reports in support of data network monitoring, improvement, and ...

Ensono

Security Engineer

Downers Grove, IL

Employee The Security Engineer is responsible for the design, implementation and support of enterprise and data center wide voice and data security solutions that align with the architecture and ...

BMO U.S.

Principal Cloud Security Engineer

Chicago, IL · On-site

BMO U.S. is seeking a Principal Cloud Security Engineer to design and implement security solutions for cloud, AI, and data systems. The role involves establishing security governance, providing ...

Sargent & Lundy

Security Engineer

Chicago, IL · Hybrid

Role Overview We are looking to hire a senior fully technical, hands-on Security Engineer who can ... Data Protection and Microsoft Purview DLP * Implement Microsoft Purview at a deep technical level:

Sargent & Lundy

Security Engineer

Chicago, IL · Hybrid

Role Overview We are looking to hire a senior fully technical, hands-on Security Engineer who can ... Data Protection and Microsoft Purview DLP * Implement Microsoft Purview at a deep technical level:

Sargent & Lundy

Security Engineer

Chicago, IL · On-site

$78K - $119K/yr

Role Overview We are looking to hire a senior fully technical, hands-on Security Engineer who can ... Data Protection and Microsoft Purview DLP * Implement Microsoft Purview at a deep technical level:

Optiver

Security Engineer

Chicago, IL

Implement and support data protection capabilities, including Microsoft Purview, sensitivity labels, DLP, and insider risk policies. Automation & Engineering * Build and maintain security automation ...

Optiver

Security Engineer

Chicago, IL · On-site

Implement and support data protection capabilities, including Microsoft Purview, sensitivity labels, DLP, and insider risk policies. Automation & Engineering * Build and maintain security automation ...

Beyond Finance

Senior Security Engineer

Chicago, IL

$118K - $161K/yr

AI/ML security exposure: prompt injection, data poisoning, model abuse, and the controls that ... Engineers trust their technical judgment, and when something is blocked, they come with a proposed ...

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All JobsData Security Engineer JobsData Security Engineer Jobs in Chicago, IL

Data Security Engineer information

See Chicago, IL salary details

$63.4K

$157.5K

$211.9K

How much do data security engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data security engineer in Chicago, IL is $157,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,400.00 and $163,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Security Engineer, you need expertise in network security, encryption, vulnerability assessment, and a solid background in computer science or information security. Familiarity with tools like SIEM systems, firewalls, intrusion detection/prevention systems (IDS/IPS), and certifications such as CISSP or CEH are often required. Strong analytical thinking, attention to detail, and effective communication skills help you navigate evolving threats and work well with cross-functional teams. These skills are essential for proactively identifying risks, implementing robust security measures, and maintaining data integrity in a dynamic technology landscape.

What are the typical challenges a Data Security Engineer faces on the job?

Data Security Engineers commonly face challenges such as staying ahead of rapidly evolving cyber threats, managing multiple security tools, and ensuring compliance with data protection regulations. They often must respond quickly to security incidents, perform thorough investigations, and balance security needs with business objectives. The role also involves educating colleagues about safe data practices and collaborating closely with IT, development, and compliance teams. Navigating these challenges requires continuous learning, adaptability, and strong problem-solving abilities.

What is a Data Security Engineer job?

A Data Security Engineer is responsible for designing, implementing, and maintaining security measures to protect an organization's sensitive data from unauthorized access, breaches, and cyber threats. They work with encryption, firewalls, intrusion detection systems, and other security tools to safeguard data. Their duties often include conducting risk assessments, monitoring security incidents, and ensuring compliance with industry regulations. Additionally, they collaborate with IT and development teams to integrate security best practices into infrastructure and applications.

What are the most commonly searched types of Data Security Engineer jobs in Chicago, IL? The most popular types of Data Security Engineer jobs in Chicago, IL are:
What are popular job titles related to Data Security Engineer jobs in Chicago, IL? For Data Security Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Security Engineer jobs in Chicago, IL look for? The top searched job categories for Data Security Engineer jobs in Chicago, IL are:
Data Security Engineer jobs near you
Infographic showing various Data Security Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,503 per year, or $75.7 per hour.
Info Security Specialist II

Info Security Specialist II

Crox Consulting Inc

Chicago, IL • On-site

$50 - $60/mo

Contractor

Posted 22 days ago

Job description

Hi ,
 
Hope you are doing well.
 
The job description is below for your reference. If interested, please send your updated resume.

Job Title: Data Security Engineer IIRole Overview

We are seeking a Data Security Engineer II to support and enhance enterprise data protection initiatives. In this role, you will develop deep expertise in data security platforms such as Microsoft Purview and Securiti.ai, leveraging these tools to strengthen data loss prevention (DLP) and data classification programs across structured and unstructured data environments.

You will play a key role in identifying risks, closing security gaps, and implementing scalable solutions to protect sensitive information across the organization.

Key Responsibilities
  • Partner cross-functionally with engineering, security, and business teams to drive data protection initiatives.
  • Act as an individual contributor to deliver projects while coordinating with managed service providers (MSPs).
  • Develop and maintain data classification frameworks, including sensitivity labeling and governance policies.
  • Design and implement data discovery and labeling strategies across enterprise systems.
  • Configure and optimize DLP policies to detect, prevent, and respond to data exfiltration risks.
  • Analyze data security events to identify trends, gaps, and areas for improvement.
  • Conduct remediation efforts related to inappropriate data access and exposure.
  • Ensure alignment with regulatory compliance requirements and internal data governance standards.
  • Continuously review and improve DLP rules to reduce false positives and enhance detection accuracy.
  • Stay current with emerging data security trends, tools, and best practices.
Required Qualifications
  • Hands-on experience analyzing and working with large datasets from multiple sources using investigative and analytical tools.
  • Strong understanding of:
    • Data Loss Prevention (DLP) concepts and lifecycle
    • Data classification and labeling methodologies
    • Networking fundamentals, including the OSI model
  • Experience developing, implementing, and maintaining DLP policies and rules.
  • Ability to translate complex technical findings into clear, actionable insights (reports, dashboards, presentations).
  • Proven ability to handle highly sensitive and confidential data with discretion.
  • Strong problem-solving skills with attention to detail and risk mitigation.
Preferred Qualifications
  • Experience with data security and governance platforms such as Microsoft Purview and Securiti.ai.
  • Familiarity with structured and unstructured data connectors and classification techniques.
  • Experience working with regex and pattern-based detection for identifying sensitive data.
  • Background in security operations, data protection, or governance programs.
  • Exposure to regulatory frameworks and compliance standards related to data security.
What Success Looks Like
  • Rapid development of SME-level expertise in key data security platforms
  • Improved accuracy and efficiency of DLP policies
  • Reduction in false positives and enhanced detection of sensitive data risks
  • Strengthened data governance and compliance posture across the organization