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Remote Data Cleaning Jobs in Missouri (NOW HIRING)

Jobgether

$88K - $106K/yr

This is a fully remote opportunity for a data engineering professional specializing in web scraping ... Use Python and Pandas to clean, explore, transform, manipulate, and prepare large datasets for ...

New

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Extract, clean, and manipulate structured and unstructured data from multiple sources * Perform ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Extract, clean, and manipulate structured and unstructured data from multiple sources * Perform ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Extract, clean, and manipulate structured and unstructured data from multiple sources * Perform ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... data clean rooms, marketplace, and Snowpark. * Strong proficiency in SQL, Python, and JavaScript ...

Jobgether

$94K - $124K/yr

Ability to collaborate effectively in a remote, global engineering environment. Nice-to-have ... Knowledge of microservice architectures and clean code principles. * Experience with DevOps ...

Jobgether

Familiarity with clean room environments and data collaboration platforms is an advantage ... Fully remote, flexible work environment. * Professional growth and development opportunities.

Jobgether

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver ... Prepare, clean, normalize, structure, and organize data for predictive and prescriptive modeling.

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

Qualified utilities design, operation and maintenance (Classified/Clean Rooms, HVAC/HEPAs, WFI/RO ... Demonstrated ability to make sound data driven business decisions; Understand, track, drill down ...

Jobgether

$94K - $124K/yr

Working within a remote-first engineering environment, you will solve challenging technical ... Build high-quality, tested software following modern engineering, DevOps, and clean code practices.

Jobgether

Maintain marketing operations best practices by ensuring clean data, consistent processes, and ... Fully remote work environment with the flexibility to work from where you perform best. * High ...

Jobgether

$39.25 - $51/hr

... data effectively. * Write clean, efficient, and maintainable code aligned with engineering ... Fully remote work opportunity. * Opportunity to work on modern backend development projects.

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

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All JobsData Cleaning JobsRemote Data Cleaning JobsRemote Data Cleaning Jobs in Missouri

Remote Data Cleaning information

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are the key skills and qualifications needed to thrive as a remote data cleaning specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.

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

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the most commonly searched types of Data Cleaning jobs in Missouri?

The most popular types of Data Cleaning jobs in Missouri are:

What are popular job titles related to Remote Data Cleaning jobs in Missouri?

For Remote Data Cleaning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Data Cleaning jobs in Missouri look for?

The top searched job categories for Remote Data Cleaning jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Cleaning jobs?

Cities in Missouri with the most Remote Data Cleaning job openings:

Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in Missouri as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% Remote job distribution.

Senior Data Engineer - Web Scraping

Jobgether

Remote

$88K - $106K/yr

Full-time

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer - Web Scraping based in Netherlands.

This is a fully remote opportunity for a data engineering professional specializing in web scraping, data processing, and automation.
You'll design and maintain sophisticated scrapers that transform diverse web-based sources into reliable, high-quality datasets.
Your work will directly support analytical and investment-related decisions by delivering timely data, alerts, and production-ready data products.
The role combines hands-on Python development, data transformation, database engineering, and workflow orchestration.
You'll collaborate closely with analysts, engineers, and cross-functional teams to understand requirements and build scalable solutions.
With significant ownership and autonomy, you'll have the opportunity to improve platforms, automate processes, and solve challenging data problems.
The environment is entrepreneurial and team-oriented, with a strong focus on engineering quality, operational reliability, and continuous innovation.

Accountabilities:
  • Design, develop, deploy, and maintain web scrapers using a range of scraping techniques and tools to collect alternative datasets from diverse sources.
  • Use Python and Pandas to clean, explore, transform, manipulate, and prepare large datasets for downstream consumption.
  • Build and maintain efficient data pipelines that ingest scraped data into databases and data warehouses.
  • Develop and manage scheduled workflows using Apache Airflow and other orchestration tools to ensure reliable and timely data delivery.
  • Collaborate with analysts and cross-functional stakeholders to understand current and anticipated data requirements and translate them into effective technical solutions.
  • Develop quality-control checks to validate data availability, accuracy, consistency, and integrity.
  • Maintain alerting systems, investigate time-sensitive data incidents, and resolve operational issues to ensure reliable day-to-day data delivery.
  • Design and implement tools, applications, and automation that improve the capabilities and efficiency of the web-scraping platform.
  • Contribute to infrastructure and data-product design, bringing practical solutions that support data scientists and other technology teams.
  • Work independently while collaborating with engineering, product, and technology stakeholders to deliver high-quality solutions and continuously improve existing systems.
Requirements:
  • Bachelor's or master's degree in Computer Science, Engineering, or a related technical discipline.
  • 4-6 years of professional experience in data engineering or a closely related field.
  • Strong programming skills in Python and strong knowledge of SQL and database technologies.
  • Advanced hands-on expertise with the Python Pandas library for data cleaning, manipulation, exploration, and transformation.
  • Strong web-scraping experience with tools and technologies such as Selenium, Scrapy, Fiddler, Postman, and XPath.
  • Strong experience with Apache Airflow for workflow orchestration and data pipeline management.
  • Solid understanding of web technologies, including HTML, JavaScript, APIs, and related concepts.
  • Proven experience working with large datasets and performing data cleaning, transformation, manipulation, and replacement.
  • Ability to design scalable infrastructure, data products, and technical tools for data-focused teams.
  • Strong verbal and written communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
  • Self-motivated, detail-oriented, and comfortable working independently while taking ownership of projects and outcomes.
  • Experience with Docker and workload containerization is preferred; Kubernetes experience is a plus.
  • Familiarity with automation and CI/CD technologies such as Jenkins and GitHub Actions is an advantage.
  • Experience with AWS services such as S3, RDS, SNS, SQS, and Lambda is a plus.
Benefits:
  • Fully remote position with the flexibility to work from anywhere.
  • Full-time opportunity within a collaborative, team-oriented engineering environment.
  • Significant autonomy, ownership, and trust in how you approach technical challenges.
  • Opportunity to work on sophisticated web-scraping, data engineering, automation, and data-product initiatives.
  • Exposure to complex datasets supporting analytical and investment-related decision-making.
  • Collaboration with engineering, product, analysts, data scientists, and other technology professionals.
  • Opportunity to contribute to the development and evolution of an entrepreneurial technology team.
  • Professional environment focused on innovation, continuous improvement, and operational excellence.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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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