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Privacy Engineer Jobs in Illinois (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... privacy controls such as PII masking and tokenization. • Apply software development best ...

Our reputation is built on a comprehensive suite of engineering services, a dedication to solving ... Understanding of medical, security, and privacy regulations. Knowledge of health/biotech ...

The Production Support Engineering team plays a key role at FIS ® Amount™ by ensuring production ... FIS is committed to protecting the privacy and security of all personal information that we process ...

Principal Data Engineer

Chicago, IL · On-site

$195.37K - $244.21K/yr

Implement foundational privacy, consent, and data governance controls * Drive adoption of engineering standards across teams Duties Technical Strategy & Architecture * Define and own the end-to-end ...

New

AI Engineer Senior Consultant

Chicago, IL · Hybrid

$107.60K - $147.80K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content ...

Senior AI Software Engineer

Chicago, IL · On-site +1

$126.20K - $166.40K/yr

As an AI Software Engineer, you'll spend your days architecting and building AI-powered systems ... Experience with responsible AI principles, data privacy, and system reliability NOTE: * Most ...

System Engineer Location: Buffalo Grove, IL Duration: 6+ Months About the Role We are seeking a ... Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared ...

New

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt ...

AI Data Engineer - Senior Consultant

Chicago, IL · Hybrid

$107.60K - $147.80K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content ...

Security Engineer (Azure Cloud Security) Overview We are seeking a highly skilled Security Engineer ... Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: . By ...

Azure Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Azure Data Engineer Location: Chicago, IL Duration: 6-12 Months U.S. Citizens and those authorized ... data privacy, data security & compliance, and data quality) * 2+ years integrating and nuances ...

Security Engineer (Azure Cloud Security) Overview We are seeking a highly skilled Security Engineer ... Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: . By ...

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Privacy Engineer information

See Illinois salary details

$17

$59

$107

How much do privacy engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for privacy engineer in Illinois is $59.87, according to ZipRecruiter salary data. Most workers in this role earn between $42.19 and $69.61 per hour, depending on experience, location, and employer.

What does a Privacy Engineer do?

A Privacy Engineer designs, implements, and maintains systems that protect user data and ensure compliance with privacy regulations. They work closely with legal, security, and engineering teams to embed privacy controls into products and services. Their responsibilities include data protection assessments, privacy-preserving technologies, and automating compliance processes.

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

A Privacy Engineer typically needs a solid foundation in computer science, data security principles, and privacy regulations such as GDPR and CCPA, often supported by a relevant degree or certification. Familiarity with tools such as data loss prevention (DLP) systems, encryption protocols, and privacy impact assessment (PIA) frameworks is highly valued, as well as certifications like CIPP or CIPT. Strong communication, analytical thinking, and cross-functional collaboration are essential soft skills that help Privacy Engineers navigate complex requirements and work effectively with legal, IT, and product teams. These competencies are crucial for ensuring that privacy is embedded into systems and processes, mitigating risks, and maintaining compliance in a rapidly evolving digital landscape.

What are the typical day-to-day responsibilities of a Privacy Engineer?

Privacy Engineers regularly assess and implement technical solutions to protect sensitive data, such as designing privacy-preserving architectures and conducting risk assessments. They often work cross-functionally, collaborating with product, legal, and IT teams to integrate privacy by design principles into new features or systems. Additional daily tasks may include responding to privacy incidents, automating privacy workflows, and keeping up-to-date with regulatory changes to ensure ongoing compliance. This role is both proactive and dynamic, focused on safeguarding user data while enabling business objectives.
What are the most commonly searched types of Privacy Engineer jobs in Illinois? The most popular types of Privacy Engineer jobs in Illinois are:
What job categories do people searching Privacy Engineer jobs in Illinois look for? The top searched job categories for Privacy Engineer jobs in Illinois are:
Infographic showing various Privacy Engineer job openings in Illinois as of May 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $124,528 per year, or $59.9 per hour.
Data Engineer

Data Engineer

Inspire11

Chicago, IL • On-site

$118K - $141.80K/yr

Full-time

Posted 13 days ago


Job description

Job Summary:
Inspire11 is a modern business and technology consulting firm focused on creating measurable value for their clients. The Data Engineer role involves designing and building data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.