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Remote Data Conversion Jobs in Minnesota (NOW HIRING)

HighCloud Solutions

Database Developer

Saint Paul, MN · Remote

Saint Paul, MN (Remote) Duration: 12 Months Description of Project The Minnesota Department of ... data conversion, validation, and ongoing processing needs. The Database Developer will develop ...

InstantServe LLC

Database Developer

Saint Paul, MN · On-site +1

St Paul, MN (Remote) Job Responsibilities: Tasks * Design and maintain various databases, including ... Develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ...

Expleo

Database Developer

Saint Paul, MN · On-site +1

$89 - $95/hr

Paul, MN) | Fully Remote Candidates Considered Employment Type: Full-Time or Contract-to-Hire Are ... Create and optimize SQL scripts, stored procedures, and database objects to support data conversion ...

Expleo

Database Developer

Saint Paul, MN · On-site +1

$89 - $95/hr

Paul, MN) | Fully Remote Candidates Considered Employment Type: Full-Time or Contract-to-Hire Are ... Create and optimize SQL scripts, stored procedures, and database objects to support data conversion ...

Three Point Solutions, Inc.

Payroll Analyst - Exempt

MN · On-site +1

Medical Device Manufacturing Company Duration: 3 Months (possible extension) Location: 100% Remote ... payroll data accuracy * Lead testing, validation, and troubleshooting of payroll conversion ...

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Remote Data Conversion information

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

To thrive as a Remote Data Conversion Specialist, you need strong analytical skills, attention to detail, and experience with data formats and database management—often supported by a degree in information technology or related fields. Familiarity with data conversion tools, ETL (Extract, Transform, Load) software, and spreadsheet or database systems like SQL is typically required. Excellent problem-solving abilities, time management, and clear communication skills help you efficiently resolve data inconsistencies and collaborate remotely. These skills ensure accurate, efficient data migration, which is crucial for maintaining data integrity and supporting business operations.

How can I make 2000 a week working from home?

Remote data conversion jobs can pay between $15 and $30 per hour, so earning $2000 weekly typically requires working around 67 hours at the higher end of this rate. To reach this income, strong attention to detail, proficiency with data tools, and consistent productivity are essential. Building a reputation and gaining experience can also lead to higher-paying opportunities or freelance projects.

How to make $1000 a week remote?

A remote data conversion specialist can earn $1000 or more weekly by completing high-volume projects, often requiring strong attention to detail and proficiency with data tools like Excel or specialized software. Building a reputation for accuracy and efficiency, along with consistent work and possibly multiple clients or platforms, can help achieve this income level.

Are Amazon data entry jobs real?

Amazon data entry jobs are legitimate positions that involve inputting and managing data using tools like spreadsheets and databases. These roles often require attention to detail and basic computer skills and are typically offered as remote or on-site opportunities. Job seekers should verify listings through official Amazon channels to avoid scams.

How to make $80,000 a year working from home?

A remote data conversion specialist can earn $80,000 annually by gaining strong data management skills, proficiency with relevant tools like Excel or specialized software, and maintaining consistent productivity. Building experience, obtaining certifications, and working for companies that offer competitive pay and remote roles are key factors in reaching this income level.

What are some common challenges faced in a remote data conversion role, and how can they be addressed?

One common challenge in remote data conversion is ensuring data accuracy while working independently, often with large and varied datasets. Maintaining consistent communication with team members and project managers is crucial to clarify data formats and address discrepancies. Utilizing standardized tools and adhering to strict data validation processes can help minimize errors. Additionally, remote collaboration tools and regular check-ins can support teamwork and help resolve technical issues more efficiently.

What are remote data conversion jobs?

Remote data conversion jobs involve transforming data from one format or system to another while working from a location outside of a traditional office. This can include converting paper documents into digital files, migrating data between software platforms, or cleaning and reformatting datasets for analysis. These roles typically require attention to detail, proficiency with data management tools, and strong computer skills. Remote data conversion professionals often work for companies needing to digitize records, update databases, or integrate new technology. The work can be project-based or ongoing, depending on the employer's needs.

What is the difference between Remote Data Conversion vs Remote Data Entry?

AspectRemote Data ConversionRemote Data Entry
Primary FocusTransforming data from one format to another, such as converting PDFs to ExcelInputting data into systems or databases accurately
Skills NeededData formatting, software proficiency, attention to detailTyping speed, accuracy, basic software skills
Work EnvironmentMostly independent, project-basedConsistent, repetitive tasks
Common CertificationsData management, software proficiencyNone typically required

Remote Data Conversion involves transforming data between formats, requiring technical skills and attention to detail. Remote Data Entry focuses on accurately inputting data into systems, often involving repetitive tasks. While both roles require accuracy, data conversion emphasizes technical transformation, whereas data entry emphasizes speed and precision in data input.

What are popular job titles related to Remote Data Conversion jobs in Minnesota? For Remote Data Conversion jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Conversion jobs in Minnesota look for? The top searched job categories for Remote Data Conversion jobs in Minnesota are:
Remote Data Conversion jobs near you
Database Developer

Database Developer

HighCloud Solutions

Saint Paul, MN • Remote

Contractor

Posted 7 days ago

Job description

Title: Database Developer

Location: Saint Paul, MN (Remote)

Duration: 12 Months

Description of Project

The Minnesota Department of Information Technology Services (MNIT) partnering with the Department of Corrections, is seeking a Database Developer to assist in the design and maintenance of various databases, develop and optimize ETL pipelines and workflows, develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs. The Database Developer will develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems. The Database Developer will also execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems, build data ingestion and transformation workflows across raw, staging, curated, and analytics layers, maintain various reporting solutions using SSRS and Power BI, and Design and implement logical and physical data models (ERDs) for various applications. The Database Developer will also provide production support, including troubleshooting performance issues and on-call support and collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles.

At a high level, the resource will develop, maintain, and optimize enterprise database solutions and will support data integration, conversion, migration, reporting, and database performance while ensuring the accuracy, reliability, and integrity of enterprise data. The resource will also provide production support and collaborate with cross-functional project teams throughout the system development lifecycle using Agile methodologies.

Tasks

  • Design and maintain various databases, including stored procedures, indexing, and data models.
  • Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server.
  • Execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems.
  • Develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs.
  • Build data ingestion and transformation workflows across raw, staging, curated, and analytics layers.
  • Build and maintain various reporting solutions using SSRS and PowerBI.
  • Design and implement logical and physical data models (ERDs) for various applications.
  • Develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems.
  • Provide production support, including troubleshooting performance issues and on-call support when needed.
  • Collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles.
  • Provide knowledge transfer.

Desired Skills

  • 10+ years of experience in database development or data engineering.
  • Expertise in SQL Server, T-SQL and performance tuning.
  • Experience with ETL tools (SSIS), Python, or PySpark.
  • Strong background in data modeling and data integration.
  • Experience with reporting tools (SSRS, PowerBI).
  • Working knowledge of DevOps tools such as Azure DevOps, GitHub, or Jenkins.
  • Experience supporting critical applications in financial, government, or legal industries.