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Remote Data Cleaning Jobs in Texas (NOW HIRING)

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Parse, clean, and transform structured and unstructured datasets to the spycloud schema. * Build ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Parse, clean, and transform structured and unstructured datasets to the spycloud schema. * Build ...

Data Entry Assistant

San Antonio, TX · On-site +1

$15.25 - $20.25/hr

Perform regular data audits and clean-up tasks * Maintain confidentiality and security of all ... Flexible working hours and potential for remote work * A supportive and collaborative team ...

Data Entry Assistant

San Antonio, TX · On-site +1

$15.25 - $20.25/hr

Perform regular data audits and clean-up tasks * Maintain confidentiality and security of all ... Flexible working hours and potential for remote work * A supportive and collaborative team ...

Proven ability to turn messy data into clean insights and communicate them clearly to executives. * Experience enabling BI self-service and building stakeholder capability. * Strong understanding of ...

Navigate Complex Data: Independently manage, clean, and extract value from data sets that are "not ... Remote

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... into clean, structured data files. * Data Transformation: Transform clientprovided or ...

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... into clean, structured data files. * Data Transformation: Transform clientprovided or ...

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... into clean, structured data files. * Data Transformation: Transform clientprovided or ...

Data Specialist - 26327

Austin, TX · On-site +1

$55K - $62K/yr

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... into clean, structured data files. * Data Transformation: Transform client-provided or Enverus ...

Data Specialist - 26327

Austin, TX · On-site +1

$55K - $62K/yr

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... into clean, structured data files. * Data Transformation: Transform client-provided or Enverus ...

Showing results 21-40

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 Texas?

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

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

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

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

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

Infographic showing various Remote Data Cleaning job openings in Texas as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution.

Data Processing Engineer

SpyCloud

Austin, TX • On-site, Remote

$111K - $144K/yr

Full-time

Re-posted 14 days ago


Job description

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week.

Our Stack:

  • Python
  • Linux
  • Databases: Elasticsearch, SQL, Databricks
  • AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more)

What You'll Do:

  • Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
  • Build Python-based automation for the parsing platform.
  • Bring order to dirty and/or unstructured data.
  • Develop ETL-style automation scripts.
  • Monitor the ingestion process for issues.
  • Collaborate with the team to design and build innovative data systems.
  • Analyze data based on the consumption of blogs for the marketing team.
  • Develop processes, standards and CI/CD pipelines to manage our codebase.
  • Leverage AI to help automate parsing dirty datasets

Requirements:

  • 5-7 years of professional experience as a Python developer.
  • A love of working with data.  Familiarity with cleaning/transforming data.
  • Experience building data solutions and automation tools using Python.
  • Proficient in Linux bash/ksh scripting and Regular Expressions.
  • Interest in cybersecurity.
  • Strong understanding of computer science fundamentals (data structures, algorithms, data processing).
  • Experience with relational and NoSQL databases.
  • Excellent communication skills.
  • Great team player.
  • Self-directed, empathetic, and eager to automate repetitive tasks.
  • Able to switch contexts as business needs change.

Nice to Have:

  • Background or strong interest in cybersecurity.
  • Familiarity with Git version control system.
  • Experience with AWS (Compute, Storage, Database).
  • Experience working with Infrastructure as Code (we use Terraform and Ansible).

Base Salary Range: $111,000 - 144,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.