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Senior Applications Engineer Jobs in Davis Junction, IL

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

Position Overview We are seeking a Senior Data Engineer to design, build, and operate scalable data ... Integrate data from databases, APIs, applications, event streams, and external sources into ...

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

Position Overview We are seeking a Senior Data Engineer to design, build, and operate scalable data ... Integrate data from databases, APIs, applications, event streams, and external sources into ...

Hawkins Inc.

Senior Electrical Engineer

Loves Park, IL · On-site

$103K - $134K/yr

ABOUT THE JOB The Senior Electrical Engineer is responsible for designing, directing, and ... Practical applications of engineering science and technology, including principles, techniques ...

WaterSurplus

Senior Electrical Engineer

Loves Park, IL · On-site

$103K - $134K/yr

ABOUT THE JOB The Senior Electrical Engineer is responsible for designing, directing, and ... Practical applications of engineering science and technology, including principles, techniques ...

Hawkins

Senior Electrical Engineer

Loves Park, IL · On-site

$103K - $134K/yr

ABOUT THE JOB The Senior Electrical Engineer is responsible for designing, directing, and ... Practical applications of engineering science and technology, including principles, techniques ...

WaterSurplus

Senior Electrical Engineer

Loves Park, IL · On-site

$100 - $125/hr

The Senior Electrical Engineeris responsible fordesigning, directing, and coordinating instruments ... Practical applications of engineering science and technology, including principles, techniques ...

Hawkins Inc.

Senior Electrical Engineer

Loves Park, IL · On-site

$100 - $125/hr

The Senior Electrical Engineeris responsible fordesigning, directing, and coordinating instruments ... Practical applications of engineering science and technology, including principles, techniques ...

Raytheon Technologies

Senior Software Engineer

Rockford, IL · On-site

$122K - $161K/yr

Not Required Join our team in Rockford, IL as a Senior Software Engineer and help develop the ... Knowledge of generator control systems, embedded control applications, and hardware/software ...

Prattwhitney

Senior Software Engineer

Rockford, IL · On-site

$125 - $150/hr

Not Required Join our team in Rockford, IL as a Senior Software Engineer and help develop the ... Knowledge of generator control systems, embedded control applications, and hardware/software ...

Collins Aerospace

Senior Software Engineer

Rockford, IL · Hybrid

$122K - $161K/yr

Not Required Join our team in Rockford, IL as a Senior Software Engineer and help develop the ... Knowledge of generator control systems, embedded control applications, and hardware/software ...

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All JobsApplications Engineer JobsSenior Applications Engineer JobsSenior Applications Engineer Jobs in Davis Junction, IL

Senior Applications Engineer information

See Davis Junction, IL salary details

$64.2K

$119.2K

$169.1K

How much do senior applications engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior applications engineer in Davis Junction, IL is $119,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $133,500.00 per year, depending on experience, location, and employer.

What does a senior applications engineer do?

A Senior Applications Engineer is responsible for designing, developing, and supporting software applications tailored to meet client or business requirements. They collaborate with cross-functional teams to understand user needs, troubleshoot complex software issues, and provide technical guidance throughout the application lifecycle. Additionally, they may mentor junior engineers, help optimize existing systems, and ensure that applications are scalable and secure. Their role often bridges the gap between technical development and customer or business objectives.

What are the key skills and qualifications needed to thrive as a senior applications engineer?

To thrive as a Senior Applications Engineer, you need advanced expertise in software development, systems design, and troubleshooting, typically supported by a degree in engineering or computer science. Proficiency with programming languages (such as Java, C++, or Python), cloud platforms, and familiarity with tools like Git and CI/CD pipelines are commonly required, along with relevant certifications. Strong problem-solving abilities, effective communication, and project management skills help you collaborate with cross-functional teams and deliver tailored solutions for clients. These skills are crucial for ensuring robust, scalable applications that meet business needs and drive innovation.

How does a senior applications engineer typically collaborate with cross-functional teams on complex projects?

Senior Applications Engineers often work closely with product managers, software developers, and quality assurance teams to deliver tailored solutions for clients. They act as technical liaisons, translating customer requirements into system specifications and ensuring seamless integration with existing platforms. Effective communication and project management skills are essential, as these engineers may lead technical discussions, provide mentorship to junior engineers, and coordinate troubleshooting efforts across departments to meet project deadlines.

What is the difference between Senior Applications Engineer vs Applications Engineer?

AspectSenior Applications EngineerApplications Engineer
Required CredentialsBachelor's degree in engineering or related field; 3+ years experience; certifications like PMP or relevant technical certificationsBachelor's degree in engineering or related field; 1-3 years experience; technical certifications optional
Work EnvironmentDesigns, tests, and implements solutions; collaborates with sales and engineering teamsSupports clients by demonstrating products, troubleshooting, and providing technical assistance
Employer & Industry UsageUsed in manufacturing, tech, and engineering firms for complex solutionsCommon in tech, manufacturing, and industrial sectors for client support roles

The main difference is experience level and responsibilities. Senior Applications Engineers handle complex projects and lead technical solutions, while Applications Engineers focus on supporting clients and product demonstrations. Both roles require technical knowledge, but the senior position demands more experience and leadership skills.

What cities near Davis Junction, IL are hiring for Senior Applications Engineer jobs?

Cities near Davis Junction, IL with the most Senior Applications Engineer job openings:

Senior Applications Engineer jobs near you

Senior Data Engineer - Remote

Experity

Machesney Park, IL • On-site, Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 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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