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Remote Cleaning Jobs in Springfield, IL (NOW HIRING)

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Write clean, testable Python code for transformation, orchestration, and data quality * Integrate ...

Ragnar Benson, LLC

Senior Estimator

Springfield, IL · On-site +1

$150K - $180K/yr

This position will be remote with 50% travel to any of our project locations. Depending on residing ... Ragnar Benson is part of the MasTec Clean Energy & Infrastructure (CE&I) business segment. The CE&I ...

All JobsRemote Cleaning JobsRemote Cleaning Jobs in Springfield, IL

Remote Cleaning information

See Springfield, IL salary details

$9

$16

$20

How much do remote cleaning jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote cleaning in Springfield, IL is $16.09, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $17.40 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Cleaner, you need strong knowledge of cleaning techniques, attention to detail, and often prior experience or certification in cleaning services. Familiarity with scheduling apps, communication platforms, and cleaning equipment is typically important for coordinating tasks and managing client expectations remotely. Excellent time management, self-motivation, and professional communication skills help remote cleaners stand out in managing independent work and client relationships. These skills ensure effective, reliable service delivery and client satisfaction in a remote work environment.

How can I make 2000 a week working from home?

Remote cleaning jobs typically pay hourly or per job, with earnings depending on the number of clients and the rates charged. To make $2,000 a week, you would need to work full-time hours consistently, often requiring strong cleaning skills, reliability, and possibly building a client base or working for multiple clients simultaneously.

What is the meaning of remote in one word?

In the context of remote cleaning jobs, 'remote' means working from a location outside the traditional office or job site, often from home or another off-site location. It emphasizes flexibility and independence in work environment, with communication typically maintained through digital tools. For cleaning roles, 'remote' may also refer to coordinating tasks or managing schedules remotely rather than physically performing cleaning tasks on-site.

What is remote cleaning?

Remote cleaning refers to the use of technology and digital tools to monitor, control, or automate cleaning tasks from a distance, rather than performing them physically onsite. This can involve managing robotic cleaning devices, using smart sensors to track cleanliness, or overseeing cleaning staff via remote management platforms. Remote cleaning is commonly used in commercial spaces, offices, or large facilities to improve efficiency and maintain high standards of hygiene. The approach allows for better scheduling, monitoring, and documentation of cleaning activities without being physically present at the location.

What are the most common challenges faced by remote cleaning professionals, and how can they be addressed?

Remote cleaning professionals often encounter challenges such as coordinating schedules with clients, maintaining consistent communication, and ensuring quality standards without direct supervision. To address these, it's important to use reliable scheduling and communication tools, follow detailed checklists, and stay proactive in reporting progress or issues. Many successful remote cleaners also invest in ongoing training and leverage client feedback to continually improve their services.

What is the meaning of the word remote?

In the context of remote cleaning jobs, 'remote' refers to work that is performed outside of a traditional office or cleaning site, often from a location of the employee's choice, using digital communication tools. However, most cleaning jobs require physical presence at specific sites, so 'remote' may refer to administrative or planning tasks related to cleaning operations. It is important to clarify the job responsibilities to understand if 'remote' applies to the role's tasks.

What is the difference between Remote Cleaning vs Janitorial Worker?

AspectRemote CleaningJanitorial Worker
CredentialsNone typically required; some certifications for specialized cleaningHigh school diploma often required; certifications vary
Work EnvironmentPrimarily remote planning, scheduling, and management; some remote oversightOn-site cleaning in commercial or residential buildings
Industry UsageUsed in cleaning service management, consulting, and coordination rolesHands-on cleaning staff in facilities

Remote Cleaning involves coordinating cleaning services remotely, focusing on management, scheduling, and oversight, often without physical presence. In contrast, Janitorial Workers perform the actual cleaning tasks on-site. While Remote Cleaning roles may require minimal credentials, Janitorial Workers typically need basic certifications and on-site experience. Both roles are essential in the cleaning industry but differ significantly in work environment and responsibilities.

What is the best remote control for Alzheimer's patients?

Remote cleaning jobs typically do not involve remote controls for Alzheimer's patients. If referring to assistive devices, specialized remote controls with simplified interfaces, large buttons, and voice activation are recommended to help patients manage daily tasks safely. Training in device use and understanding patient needs are important for effective support.
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What cities near Springfield, IL are hiring for Remote Cleaning jobs? Cities near Springfield, IL with the most Remote Cleaning job openings:
Remote Cleaning jobs near you

ETL Data Engineer

MSR Technology Group

Springfield, IL • Remote

$113K - $136K/yr

Full-time

Posted 15 hours ago

Job description

Senior Data Engineer – Azure / Python ETL Modernization
Remote (U.S.) with Minimal travel (2–3x per year)
Overview
We’re hiring a Senior Data Engineer to lead enterprise ETL modernization initiatives, transitioning legacy data pipelines (e.g., Informatica, on-prem data warehouses) into modern Azure-based, Python-driven data platforms.
This is a hands-on engineering role focused on building scalable data pipelines, refactoring legacy logic into Python/PySpark, and delivering production-grade data solutions that support analytics, reporting, and downstream data use cases.
The right candidate will have a strong background in Python-based data engineering, Azure data services, and experience modernizing legacy ETL environments.
Core Responsibilities
ETL Modernization (Primary Focus)
  • Refactor and migrate legacy ETL pipelines (e.g., Informatica) into Python/PySpark-based pipelines
  • Translate business logic into scalable, code-driven transformations (not tool-based ETL)
  • Support large-scale migration from on-prem data warehouses to Azure
Data Pipeline Engineering
  • Build and maintain pipelines using Azure Data Factory, Synapse Pipelines, and/or Databricks
  • Develop reusable, parameter-driven frameworks for ingestion and transformation
  • Implement ELT patterns leveraging SQL pushdown and distributed processing
Python & Spark Development
  • Develop and optimize PySpark jobs for large-scale data processing
  • Write clean, testable Python code for transformation, orchestration, and data quality
  • Integrate with APIs and external data sources
Data Architecture & Modeling
  • Implement lakehouse architecture (ADLS Gen2, Delta Lake, Parquet)
  • Design dimensional models (star/snowflake) for analytics use
  • Handle SCD (Type 1/2), CDC, and complex transformation logic
Platform & DevOps
  • Build CI/CD pipelines using Azure DevOps (YAML, Terraform/Bicep)
  • Implement monitoring, logging, and alerting (Azure Monitor, Log Analytics)
  • Ensure security and access controls (RBAC, Key Vault, networking)
Required Skills
  • Strong hands-on experience with Python for data engineering (non-negotiable)
  • Solid experience with PySpark / Spark-based processing frameworks
  • Experience with Azure Data Factory, Synapse, or Databricks
  • Advanced SQL (complex transformations, optimization, performance tuning)
  • Experience working with modern data lakes (ADLS Gen2, Delta Lake)
  • Experience with ETL modernization or legacy system migration
  • Familiarity with CI/CD and DevOps practices in data engineering
Preferred Experience
  • Background migrating Informatica or similar ETL tools into Python-based frameworks
  • Experience with large enterprise data warehouse environments (Teradata, SQL Server, Oracle)
  • Exposure to regulated environments (healthcare, financial, etc.)
  • Snowflake experience is a plus
Why This Role Is Different
  • Focus on real modernization work, not legacy ETL maintenance
  • Heavy emphasis on Python-first data engineering
  • Opportunity to influence architecture and engineering standards
  • Long-term, high-impact enterprise data platform