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Remote Governance Risk Compliance Jobs in Harvard, IL

Aptar Group

IP Paralegal

Crystal Lake, IL · On-site +1

... risk management, cost optimization, and effective IP governance. The Intellectual Property (IP ... In compliance with pay transparency requirements, the salary range for this role is $65,000 - $85 ...

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Remote Governance Risk Compliance information

See Harvard, IL salary details

$94.2K

$182.6K

$365.6K

How much do remote governance risk compliance jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote governance risk compliance in Harvard, IL is $182,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $160,400.00 and $181,400.00 per year, depending on experience, location, and employer.

What is a remote Governance Risk Compliance (GRC) professional?

A Remote Governance Risk Compliance (GRC) professional is responsible for ensuring that an organization adheres to legal, regulatory, and internal policies related to risk management and corporate governance, all while working from a remote location. They assess risks, implement compliance programs, and develop policies that help prevent violations and mitigate risks. These professionals use digital tools to monitor compliance, conduct audits, and report findings to management or regulatory bodies, ensuring that the organization operates ethically and within the law, regardless of where they are physically located.

What are the key skills and qualifications needed to thrive as a remote Governance Risk Compliance (GRC) professional?

To succeed as a Remote Governance Risk Compliance professional, you need a strong understanding of regulatory frameworks, risk management principles, and compliance standards, often backed by a relevant degree and certifications such as CISA, CISSP, or CRISC. Familiarity with GRC platforms (like RSA Archer or LogicGate), data analytics tools, and documentation systems is crucial for effective monitoring and reporting. Outstanding analytical thinking, attention to detail, and clear communication set top candidates apart in remote environments. These competencies ensure regulatory adherence, minimize organizational risks, and maintain a robust compliance posture even from a distance.

What are some common challenges faced by professionals in remote Governance Risk Compliance (GRC) roles, and how can they be effectively managed?

One common challenge in remote GRC roles is maintaining clear communication and coordination with cross-functional teams, as GRC professionals often work with IT, legal, and operations departments. Staying updated on regulatory changes and ensuring timely compliance across distributed teams can also be complex. To manage these challenges, it's important to leverage collaboration tools, establish regular check-ins, and use centralized documentation systems. Building strong virtual relationships and setting clear expectations with stakeholders can further support effective risk management and compliance.

Can remote governance risk compliance jobs be remote?

Remote governance risk compliance jobs are commonly available, especially as many organizations adopt flexible work arrangements. These roles often require skills in risk management, compliance frameworks, and familiarity with remote collaboration tools, making remote work feasible for qualified candidates.

How to get into remote governance risk compliance?

To enter remote governance risk compliance roles, candidates typically need a bachelor's degree in fields like business, law, or cybersecurity, along with knowledge of regulatory frameworks and risk management practices. Gaining certifications such as Certified in Risk and Information Systems Control (CRISC) or Governance, Risk, and Compliance (GRC) certifications can enhance prospects. Strong analytical skills, familiarity with compliance tools, and experience working remotely are also valuable for success in this field.

Is remote governance risk compliance a good career?

Remote governance risk compliance is a growing field that involves ensuring organizations adhere to regulations and manage risks effectively, often requiring knowledge of compliance frameworks and risk management tools. It offers opportunities for remote work, career advancement, and specialization in areas like cybersecurity and data privacy. The role typically requires relevant certifications and strong analytical skills.

What cities near Harvard, IL are hiring for Remote Governance Risk Compliance jobs?

Cities near Harvard, IL with the most Remote Governance Risk Compliance job openings:

Remote Governance Risk Compliance jobs near you
Infographic showing various Remote Governance Risk Compliance job openings in Harvard, IL as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $182,558 per year, or $87.8 per hour.

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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