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Remote Database Security Engineer Jobs in Illinois

Senior Cybersecurity Engineer

Chicago, IL · Remote

$118K - $161K/yr

Contribute to Data Protection security solutions R&D to evaluate the latest cutting edge tools ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

New

Senior Cybersecurity Engineer

Chicago, IL · Remote

$118K - $161K/yr

Contribute to Data Protection security solutions R&D to evaluate the latest cutting edge tools ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

New

Senior Cybersecurity Engineer

Chicago, IL · Remote

$118K - $161K/yr

Contribute to Data Protection security solutions R&D to evaluate the latest cutting edge tools ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

New

This is a remote position. We are seeking a skilled Data Platform Engineer (Oracle EBS Application ... Define and enforce database standards, security policies, and operational procedures. * Monitor and ...

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Senior Data Engineer (ETL / Python Developer) Remote (Must reside within the Continental U.S.) No ... Develop and optimize complex SQL queries, stored procedures, and database solutions * Support cloud ...

Senior DevOps Engineer

Chicago, IL · On-site +1

$120K - $135K/yr

Remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be ... database infrastructure, availability architecture, security hardening, and operational automation.

GRC Engineer

Chicago, IL · On-site +1

$130K - $145K/yr

You'll serve as the bridge between Security, Engineering, and the business by transforming manual ... We are not open to remote candidates for this role. Hybrid: For Chicago-based employees, we follow ...

Showing results 41-60

Remote Database Security Engineer information

What is the difference between Remote Database Security Engineer vs Remote Database Administrator?

AspectRemote Database Security EngineerRemote Database Administrator
Primary FocusSecuring database systems, implementing security protocols, monitoring threatsManaging database performance, backups, recovery, and user access
Required SkillsDatabase security, encryption, threat detection, security toolsDatabase management, SQL, performance tuning, user management
CertificationsSecurity certifications (CISSP, Security+), database security certificationsDatabase certifications (Oracle, Microsoft SQL Server)
Work EnvironmentIT security teams, cybersecurity departments, remote security operationsDatabase teams, IT operations, remote database management

The main difference between a Remote Database Security Engineer and a Remote Database Administrator lies in their core responsibilities. The Security Engineer focuses on protecting database systems from threats, while the Administrator manages daily database operations. Both roles often require related certifications and may work in similar remote environments, but their primary goals differ: security versus management.

What are the most commonly searched types of Database Security Engineer jobs in Illinois?

The most popular types of Database Security Engineer jobs in Illinois are:

What job categories do people searching Remote Database Security Engineer jobs in Illinois look for?

The top searched job categories for Remote Database Security Engineer jobs in Illinois are:

What cities in Illinois are hiring for Remote Database Security Engineer jobs?

Cities in Illinois with the most Remote Database Security Engineer job openings:

Infographic showing various Remote Database Security Engineer job openings in Illinois as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Remote

Experity

Machesney Park, IL • On-site, Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Experity rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

79th of 245 rated software companies


Job description

Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions-from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that's becoming the operating system for on-demand care, Experity is the place to grow your career.
Why You'll Love Working Here
At Experity, great work starts with great people-and we go the extra mile to support our team with a culture of care, growth, and celebration:
  • Day-One Benefits: Health, dental/orthodontia, and vision coverage the moment you start.

  • Ownership & Impact: Be part of our success with a synthetic ownership program after one year.

  • Robust Support: Access our Employee Assistance Program for everything from mental wellness to financial coaching. Pets, planning a vacation, and more.

  • Recharge & Reconnect: Generous PTO, team events, family picnics, and holiday parties.

  • Career Growth: Development programs designed to help you thrive and grow.

  • Competitive Compensation: Including quarterly bonuses and 401(k) matching to invest in your future.

Position Type: Full-time
Compensation: $110,000-$150,000, based on experience
Location:
  • Remote: Team members who live within the U.S. but are not local within a commutable distance from one of our offices may work remotely, with occasional travel to an Experity office for meetings, team collaboration or as needed.

Position Overview
We are seeking a Senior Data Engineer to design, build, and operate scalable data pipelines and data platform capabilities that power Experity's analytics, AI/ML, and healthcare products.
This is a hands-on engineering role requiring strong expertise in data engineering, cloud technologies, distributed data processing, and software engineering. You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software Engineering teams to transform data from diverse sources into trusted, high-quality, and reusable data products.
As a senior member of the team, you will also provide technical leadership, mentor engineers, contribute to architecture and design decisions, and continuously improve the scalability, reliability, and efficiency of Experity's data ecosystem.
What You'll Do
Data Engineering & Platform
  • Design, build, and maintain scalable ETL/ELT pipelines for batch and near-real-time data processing.
  • Integrate data from databases, APIs, applications, event streams, and external sources into Experity's enterprise data platform.
  • Build reusable, high-quality data models and curated data products for analytics, reporting, AI/ML, and operational applications.
  • Develop complex data transformations and processing workflows using Python, SQL, Snowflake, and distributed data technologies.
  • Design data solutions for scalability, availability, resiliency, performance, and cost efficiency.

Engineering Excellence & DataOps
  • Develop reusable frameworks, libraries, and engineering patterns that improve developer productivity and data pipeline consistency.
  • Implement automated testing, CI/CD, Infrastructure as Code, and DataOps practices across data engineering workflows.
  • Build monitoring, alerting, data observability, and automated remediation capabilities to ensure pipeline reliability and data integrity.
  • Troubleshoot complex production issues and drive root-cause analysis and long-term improvements.
  • Continuously optimize data pipelines, queries, storage, and compute for performance and cost.

Data Quality, Governance & Security
  • Implement data quality, validation, lineage, and reconciliation controls across critical data pipelines.
  • Partner with Data Architecture, Governance, and Security teams to ensure data solutions follow enterprise standards.
  • Ensure healthcare data is handled securely and in accordance with applicable privacy, security, and compliance requirements.

Technical Leadership & Collaboration
  • Provide technical leadership through solution design, architecture discussions, code reviews, and engineering best practices.
  • Mentor Data Engineers and help improve engineering quality and technical capabilities across the team.
  • Partner with Data Scientists and Machine Learning Engineers to build reliable datasets, feature pipelines, and data infrastructure for AI/ML applications.
  • Collaborate with Product, Engineering, Analytics, and business stakeholders to translate requirements into scalable data solutions.
  • Maintain clear technical documentation for data pipelines, models, architecture, and operational processes.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
  • 5+ years of experience building production-grade data pipelines, data platforms, and large-scale data processing solutions.
  • Advanced proficiency in Python and SQL with strong software engineering fundamentals.
  • Hands-on experience with Snowflake and cloud-based data platforms.
  • Experience with Kafka, Flink, or other distributed and streaming technologies.
  • Strong experience with AWS, including services such as S3, Lambda, Glue, Kinesis, or equivalent cloud technologies.
  • Experience designing and optimizing ETL/ELT pipelines, data models, and high-volume data processing workflows.
  • Experience with orchestration technologies such as Airflow or equivalent platforms.
  • Experience with CI/CD, Git, automated testing, and Infrastructure as Code.
  • Strong understanding of data quality, governance, security, observability, and production support.
  • Strong problem-solving, communication, and cross-functional collaboration skills.
  • A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end

Preferred
  • Experience transforming data leveraging dbt, preferably dbt cloud.
  • Experience working in AI-native engineering environments and effectively leveraging AI-assisted development tools to improve engineering velocity, code quality, and operational efficiency.
  • Experience supporting Machine Learning and Generative AI workloads, including feature engineering and ML data pipelines.
  • Experience with Docker, Kubernetes, Terraform, or CloudFormation.
  • Experience with data cataloging, lineage, metadata management, and data observability platforms.
  • Experience in Healthcare, HealthTech, SaaS, or other regulated industries.

Why our team?
  • Build scalable data platforms that power healthcare products, analytics, Machine Learning, and Generative AI.
  • Solve challenging data problems involving large, complex, and highly valuable healthcare datasets.
  • Work with modern technologies including Snowflake, AWS, Python, Spark, and streaming platforms.
  • Collaborate closely with Data Engineering, Machine Learning, Data Science, Product, and Engineering teams.
  • Provide technical leadership while continuing to remain deeply hands-on with engineering.

Experity is committed to fostering a diverse, equitable, and inclusive workplace where innovation thrives through collaboration, diverse perspectives, and continuous learning.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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