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Data Security Jobs in Elgin, IL (NOW HIRING)

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

Awareness of data security, access controls, and observability/monitoring practices. * Ability to work collaboratively, take ownership of your work, and operate in a fast-paced environment. Knowledge ...

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Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements

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Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements

Cna

AI Security Consulting Director

Chicago, IL · Hybrid

$97K - $189K/yr

The specialist applies deep technical expertise to identify risks in AI systems and data pipelines and recommends practical controls and remediations, partnering closely with the AI Security team ...

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Understanding of data security, governance, and compliance standards. * Exposure to machine learning data pipelines and feature engineering. Key Competencies * Strong problem-solving and analytical ...

CNA

AI Security Consulting Director

Chicago, IL · On-site

$97K - $189K/yr

The specialist applies deep technical expertise to identify risks in AI systems and data pipelines and recommends practical controls and remediations, partnering closely with the AI Security team ...

Pwc

Data Engineer - Senior Manager

Rosemont, IL · On-site

$124K - $280K/yr

You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and ...

Pwc

Data Engineer - Senior Manager

Chicago, IL · On-site

$124K - $280K/yr

You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and ...

SPS North America

IT Support

Chicago, IL

$22.25 - $30.50/hr

Ensure compliance with data security protocols and regulations. Verify and document successful data erasure. Troubleshoot and resolve basic hardware issues related to storage devices. Properly ...

SPS North America

IT Support

Chicago, IL

$22.25 - $30.50/hr

Ensure compliance with data security protocols and regulations. Verify and document successful data erasure. Troubleshoot and resolve basic hardware issues related to storage devices. Properly ...

SPS North America

IT Support

Chicago, IL

$22.25 - $30.50/hr

Ensure compliance with data security protocols and regulations. Verify and document successful data erasure. Troubleshoot and resolve basic hardware issues related to storage devices. Properly ...

NTT DATA

Security Officer L1

Chicago, IL · On-site

$16.50 - $19.50/hr

With over 150 data centers across more than 20 countries globally, we offer unparalleled ... The Security Officer Level 1 is an experienced client-facing security officer who utilizes clear ...

Innova Solutions, Inc

HSM Security Engineer

Chicago, IL · On-site

$71 - $76/hr

As an HSM Security Engineer , you will: Top Skills: * 5+ years of experience in HSM and key ... Crypto compliances per industry standards including Data classification, policies, and data ...

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All JobsData Security JobsData Security Jobs in Elgin, IL

Data Security information

See Elgin, IL salary details

$15

$22

$53

How much do data security jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data security in Elgin, IL is $22.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $18.08 per hour, depending on experience, location, and employer.

What is data security?

Data security refers to the processes and technologies used to protect digital information from unauthorized access, corruption, or theft throughout its lifecycle. It involves implementing measures such as encryption, access controls, and regular security audits to safeguard sensitive data. Businesses and individuals use data security to ensure confidentiality, integrity, and availability of their information. Strong data security practices are essential for complying with regulations and protecting against cyber threats.

What are the key skills and qualifications needed to thrive as a data security professional, and why are they important?

To thrive as a Data Security professional, you need a strong grasp of cybersecurity principles, risk assessment, and experience with security frameworks, often supported by a degree in computer science or information security. Familiarity with tools such as firewalls, intrusion detection/prevention systems (IDS/IPS), encryption technologies, and certifications like CISSP or CISM is highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for identifying threats and articulating security measures to stakeholders. These competencies are essential for safeguarding sensitive information, ensuring compliance, and minimizing the impact of security breaches.

What are some common challenges faced by professionals in data security roles, and how can they be addressed?

Professionals in Data Security roles frequently encounter challenges such as rapidly evolving cyber threats, balancing security measures with user convenience, and ensuring compliance with complex regulations. Staying updated with the latest threat intelligence and regularly participating in training can help address these issues. Collaborating closely with IT, legal, and business teams also ensures that security policies are both practical and effective. Regular risk assessments and proactive communication are key strategies for overcoming these challenges.

What is the difference between Data Security vs Data Analyst?

AspectData SecurityData Analyst
Required CertificationsCompTIA Security+, CISSP, CISACAP, Microsoft Certified Data Analyst, Google Data Analytics
Work EnvironmentIT security teams, cybersecurity departmentsBusiness intelligence, data analysis teams
Industry UsageFinance, healthcare, government, techMarketing, finance, consulting, tech

Data Security focuses on protecting data from breaches and unauthorized access, involving cybersecurity measures and compliance. Data Analysts interpret and visualize data to support business decisions. While Data Security ensures data integrity and confidentiality, Data Analysts utilize data to generate insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

Is data security a good career?

Data security is a strong career choice for those interested in protecting information systems and networks. It involves skills in cybersecurity tools, risk management, and often requires certifications like CISSP or CISM. The field offers high demand, competitive salaries, and opportunities for advancement in various industries.

What does a data security job do?

A data security job involves protecting an organization's digital information from unauthorized access, breaches, and cyber threats. Professionals in this field implement security measures such as encryption, firewalls, and access controls, and often require knowledge of security tools and certifications like CISSP or CISM. They monitor networks, investigate security incidents, and ensure compliance with data protection regulations.

What job categories do people searching Data Security jobs in Elgin, IL look for?

The top searched job categories for Data Security jobs in Elgin, IL are:

What cities near Elgin, IL are hiring for Data Security jobs?

Cities near Elgin, IL with the most Data Security job openings:

Data Security jobs near you
Infographic showing various Data Security job openings in Elgin, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $47,293 per year, or $22.7 per hour.

Data Engineer

Excel Sports Management

Chicago, IL • On-site

$100K - $115K/yr

Full-time

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

Job description

Position Summary: The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This is a hands-on role for an early-career engineer who takes pride in building things the right way-with testing, data quality, and reliability built in from the start, not bolted on later. You will work alongside senior engineers and analysts to ingest, transform, and deliver trustworthy data across the business. This role will be based out of the Excel Chicago office.

Role & Responsibilities:

  • Build, maintain, and optimize data pipelines that reliably ingest, transform, and export data from internal and external sources.
  • Write and maintain automated tests-unit, integration, and data-quality checks-to ensure pipelines and datasets are correct, complete, and trustworthy.
  • Develop Python-based data workflows and orchestration tasks following established team patterns.
  • Contribute to relational data design-tables and relationships, primary/foreign keys, and appropriate indexing-and deliver schema changes as version-controlled migrations.
  • Support the data lake and warehouse layer (S3, Athena/Glue, PostgreSQL/Aurora), helping keep schemas, models, and documentation accurate.
  • Contribute to CI/CD pipelines and containerized (Docker) workflows, ensuring changes are tested and deployed safely.
  • Investigate and resolve data and pipeline issues, and help improve monitoring so problems are caught early.
  • Provide production support for data pipelines during standard working hours.
  • Collaborate with analysts, engineers, and client-facing teams to turn business needs into clean, documented solutions.

Education and Experience:

  • A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience.
  • 2+ years of professional experience in data engineering, software engineering, or a closely related role.

Required Qualifications:

  • Proficiency in Python and SQL, with hands-on experience building or maintaining data pipelines.
  • Demonstrated commitment to testing-writing unit and integration tests and validating data quality (e.g., pytest, schema/row-level checks, or similar).
  • Experience with OLTP (row-oriented) databases (PostgreSQL, MySQL, or equivalent).
  • Experience with OLAP (columnar) databases (Clickhouse, Redshift or equivalent).
  • Solid grasp of data modeling, indexing, and schema migrations.
  • Working knowledge of cloud environments (AWS preferred; GCP/Azure acceptable).
  • Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices.
  • Exposure to AI/ML or Generative AI/LLM-driven solutions.
  • Awareness of data security, access controls, and observability/monitoring practices.
  • Ability to work collaboratively, take ownership of your work, and operate in a fast-paced environment.

Knowledge, Skills and Abilities:

  • Experience with Apache Airflow or other workflow orchestration tools.
  • Familiarity with Terraform or Infrastructure-as-Code.
  • Familiarity with event-driven or serverless architectures (e.g., S3/SQS-triggered pipelines, Lambda).
  • Experience building APIs or services to expose data (FastAPI, Flask, or similar).
  • Experience with BI tools (Power BI, Tableau).
  • Experience working in the sports industry and/or the agency world.
  • Strong interest in sports and sports analytics.
  • Familiarity with marketing data (e.g., campaign, audience, engagement, and brand/sponsorship metrics);

The pay range for this position is: $100,000 per year - $115,000 per year. This position is also eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.

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