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Remote Distribution Jobs in Beloit, WI (NOW HIRING)

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... Experience with Kafka, Flink, or other distributed and streaming technologies. * Strong experience ...

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... Experience with Kafka,Flink, or other distributed and streaming technologies. * Strong experience ...

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$150K/yr

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... Experience with Kafka, Flink, or other distributed and streaming technologies. * Strong experience ...

Pentair

Key Account Manager - OEM

Delavan, WI · On-site +1

$92K - $171K/yr

This role is remote when not traveling and does require roughly 30-40% of travel. You will: * Own and grow relationships with assigned OEM customers, distributors, and key channel partners. * Develop ...

Schroeder Associates

Be Seen First

Manufacturers' Representative-Industrial Sales

Rockford, IL · Remote

Iowa www.schroederassoc.com Remote | Home Office | Established Territory Build Relationships ... Our established territories serve more than 700 active OEM and distributor customers throughout the ...

Pentair

Key Account Manager - OEM

Delavan, WI · On-site +1

$92K - $171K/yr

This role is remote when not traveling and does require roughly 30-40% of travel. You will: * Own and grow relationships with assigned OEM customers, distributors, and key channel partners. * Develop ...

TEKsystems

Healthcare Client Coordinator

Rockford, IL · Remote

$15/hr

Support internal document workflows, mail processing, and record distribution activities. * Ensure ... remote position. Application Deadline This position is anticipated to close on Aug 26, 2026. About ...

Staples, Inc.

Customer Service Representative

Rockford, IL · On-site +1

$16 - $21.75/hr

This position is a minimum of 4 days in the office at our Lincolnshire, IL location with flexibility for remote work on Fridays. Staples is business to business. You're what binds us together. At ...

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Remote Distribution information

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$16

$43

$69

How much do remote distribution jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote distribution in Beloit, WI is $43.06, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $50.77 per hour, depending on experience, location, and employer.

What is a remote distribution?

A Remote Distribution job involves managing the flow of goods, services, or digital products from a remote location. Responsibilities may include coordinating shipments, tracking inventory, processing orders, or overseeing digital content distribution. These roles often require strong organizational and communication skills, as well as familiarity with logistics software or digital platforms. Remote Distribution jobs are common in industries like e-commerce, supply chain management, and digital media.

What are the key skills and qualifications needed to thrive in the remote distribution position?

To excel in a Remote Distribution role, you need strong organizational skills, attention to detail, and experience with supply chain or logistics management, often supported by a background in business, logistics, or a related field. Familiarity with inventory management software, enterprise resource planning (ERP) systems, and shipment tracking tools is typically required. Excellent communication, problem-solving skills, and the ability to work independently in a remote setting help individuals thrive. These skills are vital for ensuring accurate, timely distribution of goods, maintaining operational efficiency, and collaborating effectively with dispersed teams.

What are some common challenges faced in a remote distribution role and how can they be addressed?

Some common challenges in a Remote Distribution position include coordinating shipments across time zones, maintaining communication with suppliers and clients remotely, and ensuring inventory accuracy without being on-site. These challenges can be addressed by leveraging real-time tracking and inventory management tools, setting clear expectations with partners, and scheduling regular virtual check-ins. Professionals who embrace technology and proactive communication tend to adapt well to the remote nature of the work. Continuous learning and staying organized are also key to overcoming these hurdles and succeeding in the role.

What are the most commonly searched types of Distribution jobs in Beloit, WI?

The most popular types of Distribution jobs in Beloit, WI are:

What are popular job titles related to Remote Distribution jobs in Beloit, WI?

For Remote Distribution jobs in Beloit, WI, the most frequently searched job titles are:

What job categories do people searching Remote Distribution jobs in Beloit, WI look for?

The top searched job categories for Remote Distribution jobs in Beloit, WI are:

What cities near Beloit, WI are hiring for Remote Distribution jobs?

Cities near Beloit, WI with the most Remote Distribution job openings:

Remote Distribution jobs near you
Infographic showing various Remote Distribution job openings in Beloit, WI as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $89,561 per year, or $43.1 per hour.

Senior Data Engineer - Remote

Experity

Machesney Park, IL • On-site, Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Experity rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th 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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