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Remote Engineer Jobs in Rockford, IL (NOW HIRING)

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... This is a hands-on engineering role requiring strong expertise in data engineering, cloud ...

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... This is a hands-on engineering role requiring strong expertise in data engineering, cloud ...

iOS Engineer -Remote

Rockford, IL · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Dekalb, IL · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

DataVoice, a division of Harris; is seeking a GIS Developer who will be a vital contributor to ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

DataVoice, a division of Harris; is seeking a GIS Developer who will be a vital contributor to ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Process Engineer

Janesville, WI · On-site +1

$90K - $132K/yr

Description SHINE Technologies is seeking a Process Engineer who will focus on systems in the ... Hybrid or remote work arrangement will be considered. While our headquarters is located in ...

Mechanical Engineer

Janesville, WI · On-site +1

$76K - $150K/yr

Description SHINE Technologies is seeking a Mechanical Engineer who will focus on mechanical ... Hybrid or remote work arrangement will be considered. While our headquarters is located in ...

Where you'll work Whether you prefer the convenience of remote work or the adventure of relocating ... Structural Engineering - Fehr Graham What you'll do As the Lead Structural Engineer, we promote a ...

Where you'll work Whether you prefer the convenience of remote work or the adventure of relocating ... Structural Engineering - Fehr Graham What you'll do As the Lead Structural Engineer, we promote a ...

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Remote Engineer information

See Rockford, IL salary details

$38K

$116K

$191.7K

How much do remote engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote engineer in Rockford, IL is $115,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a remote engineer?

A Remote Engineer is a professional who designs, develops, tests, and maintains software, systems, or infrastructure while working outside of a traditional office environment, typically from home or another remote location. Remote Engineers use digital tools and communication platforms to collaborate with their teams and manage projects. This role requires strong technical skills, self-motivation, and the ability to work independently. Many technology companies offer remote engineering positions to access a broader talent pool and provide greater flexibility for employees.

How to get a remote job as an engineer?

The primary qualifications for getting a remote job as an engineer are a bachelor's degree in a relevant field and several years of experience in a programming role. Many software engineers spend time in other roles to gain experience before applying for this job, which is a relatively senior programming role. Companies often have specific requests or requirements for software engineers, such as experience with particular types of programming, so diversifying your skills and working with a variety of different systems can help you stand out from other engineers. Fulfilling the responsibilities and duties of a remote software engineer requires communication skills and reliable access to high-speed internet.

What are the key skills and qualifications needed to thrive as a remote engineer, and why are they important?

To thrive as a Remote Engineer, you need strong technical expertise in software development, problem-solving abilities, and a relevant degree in computer science or engineering. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools such as Slack and Jira is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for remote success. These competencies ensure productivity, effective teamwork, and the ability to deliver high-quality solutions from any location.

How does a remote engineer typically collaborate with team members across different time zones?

Remote Engineers often work with colleagues who are spread across various locations and time zones, which requires strong communication and coordination skills. Collaboration is usually facilitated through tools like Slack, Zoom, or Microsoft Teams, with scheduled meetings arranged to accommodate as many team members as possible. It's common to use shared project management platforms and clear documentation to keep everyone aligned. Flexibility and proactive communication are key to ensuring seamless teamwork and project progress, even when direct overlap in working hours is limited.

What is the difference between Remote Engineer vs Remote Developer?

AspectRemote EngineerRemote Developer
Required CredentialsBachelor's in Engineering, certifications like Cisco, CompTIABachelor's in Computer Science or related, coding certifications
Work EnvironmentDesign, troubleshoot, and maintain systems, often in technical or engineering teamsWrite, test, and deploy software applications, often in development teams
Employer & Industry UsageEngineering firms, tech companies, manufacturingTech companies, startups, software firms
Common Search & Comparison IntentUnderstanding engineering roles in remote settingsComparing software development roles remotely

Remote Engineers focus on designing, maintaining, and troubleshooting technical systems, often requiring engineering-specific credentials. Remote Developers primarily write and develop software applications, with a focus on coding skills. While both roles can be remote and tech-oriented, their core responsibilities and required qualifications differ, catering to different industry needs.

What are the most commonly searched types of Engineer jobs in Rockford, IL?

The most popular types of Engineer jobs in Rockford, IL are:

What are popular job titles related to Remote Engineer jobs in Rockford, IL?

For Remote Engineer jobs in Rockford, IL, the most frequently searched job titles are:

What job categories do people searching Remote Engineer jobs in Rockford, IL look for?

The top searched job categories for Remote Engineer jobs in Rockford, IL are:

What cities near Rockford, IL are hiring for Remote Engineer jobs?

Cities near Rockford, IL with the most Remote Engineer job openings:

Infographic showing various Remote Engineer job openings in Rockford, IL as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,960 per year, or $55.8 per hour.

Senior Data Engineer - Remote

Experity

Machesney Park, IL • On-site, Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Experity rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

81st of 247 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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