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Remote Factory Worker Jobs in Springfield, IL (NOW HIRING)

Senior Azure Data Engineer (Remote)

Springfield, IL ยท Remote

$117K - $140K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse ... Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs ...

ETL Data Engineer

Springfield, IL ยท Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Build and maintain pipelines using Azure Data Factory, Synapse Pipelines, and/or Databricks

Remote Factory Worker information

See Springfield, IL salary details

$10

$16

$21

How much do remote factory worker jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote factory worker in Springfield, IL is $16.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $17.88 per hour, depending on experience, location, and employer.

How to make $1000 a week remotely?

Remote factory workers can increase earnings by working multiple shifts, taking on overtime, or gaining specialized skills to qualify for higher-paying roles. Combining part-time positions or freelance tasks related to manufacturing or quality control can also help reach a weekly income of $1000, depending on the pay rate and hours worked.

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

To thrive as a Remote Factory Worker, you need strong attention to detail, manual dexterity, and a basic understanding of manufacturing processes, often with a high school diploma or equivalent. Familiarity with remote monitoring systems, digital communication tools, and inventory management software is typically required. Reliability, effective communication, and the ability to work independently are essential soft skills for success in this remote environment. These skills and qualities ensure productivity, accuracy, and smooth collaboration despite the physical distance from the factory floor.

What jobs pay 4000 a week without a degree?

Remote factory workers typically do not earn $4,000 a week without specialized skills or experience. High-paying roles that can reach this level often involve sales, skilled trades, or entrepreneurship, but most factory positions pay lower wages unless combined with overtime or bonuses. Achieving such income usually requires advanced skills, certifications, or management responsibilities rather than entry-level factory work.

What is the difference between Remote Factory Worker vs On-site Factory Worker?

AspectRemote Factory WorkerOn-site Factory Worker
Work EnvironmentPerforms tasks remotely, often using digital tools and communication platformsWorks physically on the factory floor or production site
Required CredentialsBasic technical skills, sometimes certifications in machinery or safetySimilar certifications, often including safety and equipment operation
Industry UsageEmerging in roles like remote monitoring, quality control, or administrative supportTraditional manufacturing, assembly, and production roles
Work FlexibilityHigher flexibility, often with scheduled remote tasksFixed shifts on the factory floor

The main difference between Remote Factory Worker and On-site Factory Worker lies in the work environment and task location. Remote Factory Workers perform certain duties remotely, leveraging digital tools, while On-site Factory Workers are physically present at the production site. Both roles may require similar certifications, but the remote role offers more flexibility and is increasingly common in modern manufacturing support functions.

What is a remote factory worker?

A remote factory worker is someone who operates, monitors, or controls factory machinery and production processes from a location outside the physical factory, often using digital tools and remote access technology. This role can involve tasks such as overseeing automated equipment, quality control, data analysis, and troubleshooting technical issues, all performed via computer interfaces. Remote factory work is becoming more common with advancements in automation and the Industrial Internet of Things (IIoT), allowing for increased flexibility and efficiency in manufacturing operations.

How do remote factory workers typically stay connected with on-site teams to ensure smooth production processes?

Remote factory workers often use specialized software platforms and communication tools to collaborate with on-site teams. This usually involves regular video meetings, real-time chat channels, and shared dashboards to monitor production metrics and address issues quickly. Building strong communication routines is key to overcoming the challenge of not being physically present on the factory floor, and most companies provide structured check-ins and clear protocols to keep everyone aligned. Successful remote factory workers are proactive in reaching out and documenting their work to promote transparency and teamwork.

What jobs pay $700 a day?

Remote factory workers typically do not earn $700 a day; such high daily pay is more common in specialized roles like project managers, consultants, or skilled trades with advanced certifications. High-paying factory roles may reach lower daily rates, but earning $700 daily usually requires experience, specialized skills, or supervisory responsibilities. Most factory positions pay hourly or weekly wages rather than a fixed daily rate of this level.

How can I make 2000 a week working from home?

A remote factory worker can potentially earn $2000 a week by working multiple shifts, taking on overtime, or performing high-demand tasks that pay premium rates. Developing specialized skills, gaining certifications, and working for companies that offer higher wages or bonuses can also increase earnings. However, reaching this income level typically requires consistent effort, experience, and possibly working extended hours or multiple positions.
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What job categories do people searching Remote Factory Worker jobs in Springfield, IL look for? The top searched job categories for Remote Factory Worker jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Remote Factory Worker jobs? Cities near Springfield, IL with the most Remote Factory Worker job openings:
Senior Azure Data Engineer (Remote)

Senior Azure Data Engineer (Remote)

DATAMAXIS

Springfield, IL โ€ข Remote

$117K - $140K/yr

Full-time

Posted 16 days ago


Job description

Job Summary: We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient data solutions.

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g., Informatica-to-ADF, on-prem warehouse-to-cloud), mentoring mid-level engineers, and shaping engineering standards across the team.

Key Responsibilities:

Pipeline Design & Development

  • Design and build robust, reusable, parameter-driven ingestion and transformation pipeline using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory.
  • Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns.
  • Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate.
  • Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark.

Data Modeling & Warehousing

  • Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption.
  • Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns.
  • Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes.

Platform Engineering & DevOps

  • Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
  • Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL.
  • Define and enforce coding standards, code review practices, branching strategies, and release management.

Migration & Modernization

  • Lead or contribute to legacy-to-cloud migrations e.g., Informatica PowerCenter to Azure Data Factory, on-premises Teradata / Oracle / SQL Server to Synapse or Fabric.
  • Perform workload assessment, capacity planning, and cost modeling for target-state architectures.
  • Production incident response for critical pipelines.

Required Qualifications:

  • Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Self hosted, SSIS).
  • Strong Experience in Data Bricks and PySpark.
  • Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake).
  • Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security).
  • Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints).
  • Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
  • Advanced SQL window functions, CTEs, query optimization, execution plan analysis, performance tuning.
  • Strong Python for data engineering pandas, PySpark, REST API integration, unit testing (pytest).
  • Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.

Preferred Qualifications:

  • 5+ years of data warehouse development experience.
  • 5+ years of data modeling experience using ERWIN or similar tools.
  • 2+ years of experience with Azure Data Factory and Snowflake.
  • Medicaid Domain Knowledge is a plus.

DATAMAXIS logo

About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003