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Remote Factory Worker Jobs in Tulsa, OK (NOW HIRING)

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

Experience with dbt and Azure Data Factory. * Prior experience working with healthcare data ... Strong self-management skills with the ability to work independently in a fully remote environment.

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

Experience with dbt and Azure Data Factory. * Prior experience working with healthcare data ... Strong self-management skills with the ability to work independently in a fully remote environment.

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Experience with dbt and Azure Data Factory. * Prior experience working with healthcare data ... Strong self-management skills with the ability to work independently in a fully remote environment.

All JobsFactory Worker JobsRemote Factory Worker JobsRemote Factory Worker Jobs in Tulsa, OK

Remote Factory Worker information

See Tulsa, OK salary details

$10

$15

$19

How much do remote factory worker jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote factory worker in Tulsa, OK is $15.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $16.49 per hour, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Factory Worker jobs in Tulsa, OK?

For Remote Factory Worker jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Remote Factory Worker jobs in Tulsa, OK look for?

The top searched job categories for Remote Factory Worker jobs in Tulsa, OK are:

Remote Factory Worker jobs near you
Infographic showing various Remote Factory Worker job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $32,036 per year, or $15.4 per hour.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • Remote

$108K - $147K/yr

Full-time

Re-posted yesterday

Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement — you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization’s BI and reporting tool.
Required Skills and Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.
 

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