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Remote Cloud Factory Data Entry Jobs in Missouri

3B Staffing LLC

Data Engineer - Databricks

Saint Louis, MO · Remote

$111K - $133K/yr

Data Engineer - Databricks 6-Month Contract-to-Hire REMOTE (Local to St. Louis would be a big bonus ... Strong SQL * Experience with modern cloud data platforms * Able to explain architecture and ...

3B Staffing LLC

Data Engineer - Databricks

Saint Louis, MO · Remote

$111K - $133K/yr

Data Engineer - Databricks 6-Month Contract-to-Hire REMOTE (Local to St. Louis would be a big bonus ... Strong SQL * Experience with modern cloud data platforms * Able to explain architecture and ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud ...

Kohl's

$53.75 - $70.25/hr

Design, deploy, configure, and support next-generation firewalls across data centers, retail locations, internet edge, B2B partner connectivity, remote access, and cloud environments. * Own the ...

All Generation Tech

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ... Work with cloud-based data solutions and services across platforms such as AWS or Azure * Develop ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep learning for statistical modeling. Experience with big data technologies and cloud-based data platforms ...

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep learning for statistical modeling. Experience with big data technologies and cloud-based data platforms ...

UnitedHealth Group

Senior Software Engineer

Bridgeton, MO · Remote

$116K - $153K/yr

Experience building complex end-to-end cloud data pipelines combining Azure Data Factory, Databricks, Azure Service Bus messaging, and Delta Lake in enterprise environments * Practical experience ...

Jobgether

Strong foundations in statistics, mathematics, machine learning, and modern cloud-native data ... Remote work opportunity. * Professional Impact: Contribute to large-scale Data & AI transformation ...

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All JobsCloud Factory Data Entry JobsRemote Cloud Factory Data Entry JobsRemote Cloud Factory Data Entry Jobs in Missouri

Remote Cloud Factory Data Entry information

What is a Remote Cloud Factory Data Entry?

Remote Cloud Factory Data Entry jobs involve entering, updating, and managing data for companies using cloud-based platforms, all while working from a remote location. These roles typically require attention to detail, proficiency with spreadsheets and online databases, and the ability to follow instructions accurately. Employees may work with a variety of data types, including sales information, customer records, or inventory lists, depending on the specific needs of the employer. The 'cloud factory' aspect refers to the use of cloud computing tools that enable collaboration and secure data storage. These jobs offer flexibility and the opportunity to work from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote Cloud Factory Data Entry specialist?

To thrive as a Remote Cloud Factory Data Entry specialist, you need strong typing skills, attention to detail, and proficiency in data management, often supported by a high school diploma or equivalent. Familiarity with cloud-based platforms, spreadsheets, and data entry software is typically required. Excellent time management, reliability, and clear communication are crucial soft skills for remote collaboration and meeting deadlines. These skills ensure data accuracy and efficiency, which are essential for maintaining high-quality operations in a virtual work environment.

What are some typical challenges faced by Remote Cloud Factory Data Entry professionals, and how can they be managed?

Remote Cloud Factory Data Entry professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring data accuracy, and managing communication with distributed teams. To overcome these, it’s helpful to establish a structured daily routine, use productivity tools to minimize errors, and participate in regular check-ins with team leads. Additionally, staying updated on cloud-based data entry platforms and following company protocols for data security can make the workflow smoother and more efficient.

What is the difference between Remote Cloud Factory Data Entry vs Remote Data Processing Specialist?

AspectRemote Cloud Factory Data EntryRemote Data Processing Specialist
CredentialsBasic data entry skills, familiarity with cloud platformsData analysis, processing skills, possibly some technical certifications
Work EnvironmentCloud-based platforms, remote setupRemote or cloud-based data processing tools
Industry UsageManufacturing, logistics, cloud data servicesData analysis, IT, cloud services
Search/Comparison IntentJob roles involving data entry in cloud environmentsRoles focused on processing and analyzing data remotely

Remote Cloud Factory Data Entry primarily involves inputting data into cloud-based systems within manufacturing or logistics sectors. In contrast, Remote Data Processing Specialist focuses on analyzing and processing data remotely, often requiring more technical skills. Both roles are remote and utilize cloud tools, but they differ in complexity and focus.

What are the most commonly searched types of Cloud Factory Data Entry jobs in Missouri?

The most popular types of Cloud Factory Data Entry jobs in Missouri are:

What are popular job titles related to Remote Cloud Factory Data Entry jobs in Missouri?

For Remote Cloud Factory Data Entry jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Cloud Factory Data Entry jobs in Missouri look for?

The top searched job categories for Remote Cloud Factory Data Entry jobs in Missouri are:

What cities in Missouri are hiring for Remote Cloud Factory Data Entry jobs?

Cities in Missouri with the most Remote Cloud Factory Data Entry job openings:

Remote Cloud Factory Data Entry jobs near you

Data Engineer - Databricks

3B Staffing LLC

Saint Louis, MO • Remote

$111K - $133K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer - Databricks

6-Month Contract-to-Hire

REMOTE (Local to St. Louis would be a big bonus)

Must be GC Holder or US Citizen

The managers expressed they need a hyper technical hammer! They do not need to have an executive presence, but instead they need to be strong technically.

They will do a live python coding assessment during the interview. It will be an hour long panel style with their client.

If local, great! But fully remote is totally fine. If they have healthcare experience that would be a plus. Majority of this team has come from Express Scripts which would also be a plus! Targeting a mid to sr level. Focusing on Databricks. They are building out this new team and bringing databricks to the org!

Overview
This is a contract opportunity to join a newly formed data engineering team building a modern Databricks platform from the ground up. The client is not looking for someone to maintain legacy ETL jobs-they want engineers who can build reusable frameworks and think like platform engineers.
Must-Haves

  • Strong, hands-on Databricks experience
  • Solid Python programming skills
  • Experience building ETL/ELT pipelines
  • Strong SQL
  • Experience with modern cloud data platforms
  • Able to explain architecture and technical decisions clearly

Preferred Experience

  • Unity Catalog
  • Medallion Architecture (Bronze, Silver, Gold)
  • Data governance (lineage, security, audit logging)
  • Healthcare or other regulated industries

What the Hiring Team Wants

  • Engineers who build reusable frameworks-not one-off pipelines
  • Strong software engineering fundamentals
  • Someone who understands why Databricks is used, not just how to click through it
  • Curious, coachable, and excited about AI and modern data engineering
  • Comfortable talking through their thought process during technical interviews

JOB DESCRIPTION:

We are seeking a Data Engineer to join a team building a modern, cloud-native data platform using Databricks. This is a greenfield opportunity to help transform a legacy, file-based environment into a scalable, automated, and well-governed data ecosystem. Rather than maintaining existing systems, you'll help build reusable frameworks, modern architecture, and platform capabilities that support analytics, AI, and future business initiatives.

Responsibilities

  • Design, develop, and optimize scalable data pipelines using Databricks, Python, and SQL.
  • Build reusable ETL/ELT frameworks and automation rather than one-off data pipelines.
  • Design solutions following the Medallion Architecture (Bronze, Silver, Gold) to support reliable and scalable data processing.
  • Implement data governance best practices using Unity Catalog, including security, lineage, and access controls.
  • Modernize legacy file-based and batch processing into cloud-native solutions.
  • Collaborate with technical teams on platform architecture, engineering standards, and best practices.

Required Qualifications

  • Hands-on experience with Databricks.
  • Strong Python programming skills.
  • Experience developing scalable ETL/ELT pipelines.
  • Strong SQL and data modeling experience.
  • Experience working with modern cloud data platforms.
  • Understanding of data architecture and software engineering best practices.
  • Strong communication skills with the ability to explain technical decisions and collaborate effectively.

Preferred Qualifications

  • Experience with Unity Catalog and data governance.
  • Experience implementing Medallion Architecture.
  • Experience building reusable frameworks, accelerators, or shared engineering components.
  • Background in healthcare or other regulated industries.
  • Interest in AI, automation, and modern data engineering practices.

Apply