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Remote Data Entry Assistant Jobs in Minnesota (NOW HIRING)

Medix

Licensed Health Insurance Agent

Minneapolis, MN · Remote

$24.04/hr

High attention to detail and accurate data entry skills. * Comfortable navigating multiple web ... Remote Requirements To comply with HIPAA guidelines and operational standards, you must have:

New

Harris

... visas for entry into Canada, the United States, and the Caribbean. Preference will be given to ... based AI assistants, and automation tools, as part of their everyday work while maintaining ...

Harris

... visas for entry into Canada, the United States, and the Caribbean. Preference will be given to ... based AI assistants, and automation tools, as part of their everyday work while maintaining ...

Expleo

Azure Database Architect

Saint Paul, MN · Remote

$63.75 - $82.25/hr

Overview Location: Fully Remote (St. Paul, MN) Employment Type: Full-Time / Contract-to-Hire ... teams * Assist with CI/CD implementation and automation of data platform deployments Skills ...

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All JobsData Entry JobsRemote Data Entry Assistant JobsRemote Data Entry Assistant Jobs in Minnesota

Remote Data Entry Assistant information

See Minnesota salary details

$10

$18

$26

How much do remote data entry assistant jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote data entry assistant in Minnesota is $18.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data entry assistant?

To thrive as a Remote Data Entry Assistant, you need strong typing skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data management software like Microsoft Excel, Google Sheets, and database systems is typically required. Excellent time management, organization, and communication skills help individuals excel in remote environments. These skills and qualities ensure accurate, efficient data handling and contribute to the smooth operation of business processes from a distance.

What is the difference between Remote Data Entry Assistant vs Remote Data Entry Clerk?

AspectRemote Data Entry AssistantRemote Data Entry Clerk
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; familiarity with data management software
Work EnvironmentHome-based, flexible hoursHome-based, often part-time or full-time
Industry UsageAdministrative, healthcare, financeAdministrative, retail, healthcare
Job FocusAssisting with data input and organizationEntering and updating data in databases

The main difference between a Remote Data Entry Assistant and a Remote Data Entry Clerk lies in their scope of responsibilities. The Assistant often provides support tasks related to data management, while the Clerk focuses primarily on entering and maintaining data. Both roles typically require similar credentials and are performed in a remote work environment, making them closely related but distinct in their specific duties.

What is a remote data entry assistant?

Remote Data Entry Assistants are professionals who input, update, and manage data for organizations while working from a location outside of the traditional office, often from home. Their tasks typically include entering information into databases, spreadsheets, or content management systems with accuracy and efficiency. They may also verify data, perform quality checks, and handle confidential information. This role requires attention to detail, proficiency with computers, and the ability to work independently. Remote Data Entry Assistants play a crucial role in ensuring that companies maintain accurate and organized records.

What are some common challenges faced by remote data entry assistants, and how can they be effectively managed?

Remote Data Entry Assistants often encounter challenges such as maintaining accuracy while processing large volumes of data and managing distractions in a home environment. To overcome these, it's important to establish a dedicated workspace, use productivity tools to organize tasks, and take regular breaks to minimize errors. Clear communication with supervisors and team members via email or chat platforms also helps ensure expectations are met and questions are promptly addressed.
What are the most commonly searched types of Remote Data Entry jobs in Minnesota? The most popular types of Remote Data Entry jobs in Minnesota are:
What are popular job titles related to Remote Data Entry Assistant jobs in Minnesota? For Remote Data Entry Assistant jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Assistant jobs in Minnesota look for? The top searched job categories for Remote Data Entry Assistant jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Entry Assistant jobs? Cities in Minnesota with the most Remote Data Entry Assistant job openings:
Remote Data Entry Assistant jobs near you
Infographic showing various Remote Data Entry Assistant job openings in Minnesota as of August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 8% In-person, and 92% Remote job distribution, with an average salary of $38,813 per year, or $18.7 per hour.

Senior Data Engineer (Snowflake)

Oowlish Technology

Minneapolis, MN • On-site, Remote

$110K - $150K/yr

Full-time

Posted 4 days ago

Job description

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role:
 

We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help build and optimize modern cloud-based data solutions that support critical business operations.

In this role, you'll design, develop, and maintain scalable ETL/ELT pipelines, optimize data models, and ensure the delivery of accurate, high-quality data to downstream business systems. You'll work with modern cloud-native technologies while helping evolve the organization's data platform toward a Snowflake and dbt architecture.

The ideal candidate has strong experience building enterprise data pipelines, designing scalable data warehouses, and transforming complex business requirements into reliable data solutions.

Remote - United States (Midwest Preferred)

Occasional travel to Chicago may be required.

Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
  • Build and optimize data models in Snowflake for analytics and operational reporting.
  • Develop data transformation processes supporting business intelligence and downstream applications.
  • Design and maintain enterprise data pipelines integrating CRM, ERP, billing, and other business systems.
  • Ensure data quality, integrity, consistency, and reliability across all data workflows.
  • Build and maintain outbound integrations with enterprise applications and reporting platforms.
  • Monitor, troubleshoot, and optimize pipeline execution and query performance.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Support the evolution of modern cloud-native data architecture using Snowflake and dbt.
  • Participate in code reviews and continuously improve engineering best practices.
Requirements:
  • 5+ years of professional Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Strong SQL and data warehousing experience.
  • Experience designing and maintaining ETL/ELT pipelines.
  • Experience working with enterprise business data.
  • Experience integrating multiple enterprise applications.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.
  • Strong written and verbal English communication skills.
  • Must be based in the United States.
Must Have:
  • 5+ years of Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Advanced SQL skills.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience with Matillion or similar ETL/ELT platforms.
  • Strong data modeling experience.
  • Experience designing enterprise data warehouses.
  • Experience optimizing Snowflake performance.
  • Experience integrating CRM, ERP, billing, and other enterprise systems.
  • Experience building scalable data pipelines.
  • Strong understanding of data quality, governance, and integrity.
  • Experience translating business requirements into scalable data solutions.
Nice to Have
  • Experience with dbt (Data Build Tool).
  • Experience migrating ETL workloads to Snowflake-native architectures.
  • Experience with SAP Callidus.
  • Experience with Xactly.
  • Experience with CaptivateIQ.
  • Experience working with Sales Compensation or Incentive Compensation Management (ICM) platforms.
  • Experience supporting Revenue Operations or Sales Operations teams.
  • Experience with Snowflake Cortex.
  • Experience implementing AI-driven data workflows.
  • Experience working with Finance or Commission-related datasets.
Come join us in breaking the mold and revolutionizing the tech landscape!

You can also apply here:

Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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