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Remote Data Cleansing Jobs in Minnesota (NOW HIRING)

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 ... Lead and execute large-scale data migration initiatives, including data cleansing, validation ...

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 ... Lead and execute large-scale data migration initiatives, including data cleansing, validation ...

InstantServe LLC

Database Developer

Saint Paul, MN · On-site +1

St Paul, MN (Remote) Job Responsibilities: Tasks * Design and maintain various databases, including ... Execute large-scale data migrations, including cleansing, validation, and transformation across ...

All JobsData Cleansing JobsRemote Data Cleansing JobsRemote Data Cleansing Jobs in Minnesota

Remote Data Cleansing information

What is remote data cleansing?

Remote data cleansing is the process of identifying and correcting errors or inconsistencies in data sets while working from a location outside of a traditional office environment. This task involves removing duplicate records, fixing formatting issues, and ensuring data accuracy so that businesses can make reliable decisions based on their information. Remote data cleansing professionals use specialized tools and software to access, review, and modify large volumes of data securely. The remote aspect allows for greater flexibility and access to global talent, making it a popular choice for companies with large or complex data needs.

What are some common challenges faced by remote data cleansing professionals, and how can they be addressed?

Remote data cleansing professionals often encounter challenges such as inconsistent data formats, incomplete information, and communication barriers with team members due to working remotely. To address these issues, it's important to establish clear data quality standards and use specialized cleansing tools to automate repetitive tasks. Regular check-ins with the team and detailed documentation help ensure consistency and facilitate collaboration. Staying organized and maintaining open communication channels can also significantly improve workflow and data accuracy.

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

To thrive as a Remote Data Cleansing Specialist, you need strong analytical skills, attention to detail, and familiarity with data management principles, typically supported by a background in information technology or data science. Proficiency with data cleansing tools like OpenRefine, Microsoft Excel, SQL databases, and sometimes CRM or ERP systems is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication are critical soft skills for this role. These competencies ensure accurate, consistent, and reliable data, which is essential for effective business decision-making and operational efficiency.

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

AspectRemote Data CleansingRemote Data Entry
Primary FocusCleaning, validating, and improving data qualityInputting and updating data into systems
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData management platforms, spreadsheetsDatabases, spreadsheets, data entry software
Common EmployersData services companies, corporationsAdministrative, retail, healthcare sectors

Remote Data Cleansing involves refining and validating data to ensure accuracy, while Remote Data Entry focuses on inputting and updating data into systems. Both roles require attention to detail but differ in skills and tasks, with data cleansing emphasizing data quality and data entry emphasizing data input.

What are popular job titles related to Remote Data Cleansing jobs in Minnesota? For Remote Data Cleansing jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleansing jobs in Minnesota look for? The top searched job categories for Remote Data Cleansing jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Cleansing jobs? Cities in Minnesota with the most Remote Data Cleansing job openings:
Remote Data Cleansing jobs near you
Infographic showing various Remote Data Cleansing job openings in Minnesota as of July 2026, with employment types broken down into 6% Locum Tenens, 80% Full Time, 8% Part Time, 1% Temporary, 3% Contract, and 2% Summer. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Database Developer (Contractor) - MNSITE-3762

Database Developer (Contractor) - MNSITE-3762

RE/SPEC Inc.

Saint Paul, MN • Remote

Full-time

Posted 5 days ago

Job description

Company Description

Big challenges need bold thinkers.

If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.

We do not accept unsolicited resumes from third-party recruiters.

Job Description

RESPEC is seeking an experienced Database Developer to support a public-sector technology initiative for the Minnesota Department of Information Technology Services (MNIT) in partnership with the Minnesota Department of Corrections. This is a full-time contract consulting opportunity supporting a mission-critical enterprise data environment.

In this role, you will help modernize, maintain, and optimize enterprise database solutions that support transactional applications, reporting platforms, data conversion, and operational decision-making. You will work across the data lifecycle—from ingestion and transformation through migration, validation, reporting, and production support—to ensure that enterprise data is accurate, reliable, secure, and performant.

This is an opportunity for a hands-on database professional who enjoys solving complex data challenges, improving performance at scale, and collaborating with cross-functional Agile teams in a high-impact government environment.

Core Responsibilities:

  • Design, develop, and maintain SQL Server databases, including stored procedures, views, indexes, SQL scripts, and supporting database components.
  • Build and optimize ETL pipelines and data workflows using SSIS, SQL Server, Python, and/or PySpark.
  • Lead or support large-scale data conversion and migration efforts, including data cleansing, transformation, validation, reconciliation, and quality assurance.
  • Develop data ingestion and transformation processes across raw, staging, curated, and analytics data layers.
  • Create and maintain logical and physical data models, including entity relationship diagrams (ERDs), for application and reporting needs.
  • Build and support reporting solutions using SSRS and Power BI.
  • Diagnose and resolve database performance issues; tune SQL queries, stored procedures, indexing strategies, and database workloads.
  • Provide production support, including participation in on-call support as business needs require.
  • Partner with technical and business stakeholders through Agile ceremonies, code reviews, development activities, releases, and knowledge-transfer activities.
Qualifications

Required Technical Experience

10+ Years of Experience

Candidates should bring 10 or more years of experience in database development, data engineering, or a closely related technical discipline.

Technical Background:

Candidates should have demonstrated experience with:

  • Microsoft SQL Server, T-SQL development, and database performance tuning.
  • Designing, developing, and maintaining stored procedures, SQL scripts, views, indexes, and database components.
  • ETL development using SSIS, Python, PySpark, or a combination of these technologies.
  • Enterprise data migration, conversion, cleansing, transformation, and validation.
  • Data modeling, database design, and data integration practices.
  • ·upporting production applications and resolving database performance or operational issues.
  • SSRS and Power BI reporting solutions.

Preferred Qualifications:

Experience supporting high-availability or business-critical applications in a government, financial, or legal environment is strongly preferred.

Working knowledge of DevOps and source-control tools—such as Azure DevOps, GitHub, or Jenkins—is also preferred. Candidates who have worked successfully in Agile delivery environments and can communicate effectively across technical and business teams will be especially well suited for this role.


Additional Information

Work Model

Remote: This position is expected to be performed remotely.

Interview Format: Virtual interview via Microsoft Teams.

All your information will be kept confidential according to EEO guidelines.

All your information will be kept confidential according to EEO guidelines.