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Remote Data Cleaning Jobs (NOW HIRING)

ActioNet

Sr. Data Scientist

Senior Data Scientist Remote, United States Description ActioNet has an exciting opportunity for a ... Implement processes for data cleaning, transformation, and validation to ensure data accuracy ...

ActioNet, Inc.

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Implement processes for data cleaning, transformation, and validation to ensure data accuracy ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125.30K - $150.40K/yr

This individual will be responsible for the entire data lifecycle, including gathering, cleaning ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117.20K - $140.70K/yr

This individual will be responsible for the entire data lifecycle, including gathering, cleaning ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Barbaricum

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts ... remote support.

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

This individual will be responsible for the entire data lifecycle, including gathering, cleaning ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analysts will serve primarily as the operators of the PANDA platform's Data Cleaning, Analyzer ... for remote work to be determined by the program manager and customer. Essential Functions:

C the Signs

AI Data Engineer

Boston, MA · Remote

$117.20K - $140.70K/yr

This individual will be responsible for the entire data lifecycle, including gathering, cleaning ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

This individual will be responsible for the entire data lifecycle, including gathering, cleaning ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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Remote Data Cleaning information

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 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 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.

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What states have the most Remote Data Cleaning jobs? States with the most job openings for Remote Data Cleaning jobs include:
What job categories do people searching Remote Data Cleaning jobs look for? The top searched job categories for Remote Data Cleaning jobs are:
Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in the United States as of May 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% Remote job distribution.
Sr. Data Scientist

Sr. Data Scientist

ActioNet

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Senior Data Scientist

Remote, United States

Description

ActioNet has an exciting opportunity for a Senior Data Scientist to join our team to lead digital transformation projects to develop and implement future mission-critical enterprise data analytics and production systems for the nation’s premiere source of statistical data products.

The Senior Data Scientist will provide full lifecycle data management including the design of highly scalable cloud-native architectures to support automated dynamic data collection, integration, storage, transformation, harmonization, analysis, reporting and dissemination needs. This includes providing advanced subject matter expertise in AI/ML, data modeling, statistics, and data privacy protection. This role demands expertise in Python and involves building complex pipelines from scratch, managing data flow within the AWS ecosystem, and conducting rigorous testing to ensure accuracy and completeness, consistency, and quality of all outputs. This position requires a leader, innovator and problem-solver with solid data science, statistical, and programming experience. This position also requires experience developing and designing new projects and solutions, coordinating projects between multiple teams with many stakeholders in a pro-active, enthusiastic communication style.

This position is REMOTE.  

Federal position requires Public Trust.  Candidates must be US Citizens to be eligible. 


Responsibilities: 

  • Serve as the technical authority for enterprise and solution-level data architecture, guiding the design and modernization of complex application ecosystems.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.
  • Assess legacy and on-premises data environments and define cloud migration and modernization strategies including rehost, re-platform, refactor, and cloud-native redesign
  • Define target-state data architectures that support front-end applications, API platforms, enterprise databases, queueing systems, scalable computation engines, and analytical services.
  • Develop efficient data processing and transformation workflows to support analytics and reporting needs. Define architectures for computation engines that execute Python-based analytical workloads and large-scale data processing.
  • Architect data platforms integrating RDBMS and cloud-native object storage for large-scale transactional and analytical workloads and secure AWS-based data infrastructure leveraging EMR, Apache Spark, and PySpark.
  • Lead the architectural design of microservices-based data platforms emphasizing API-first integration, loose coupling, stateless and stateful service separation, and elastic scalability.
  • Lead testing, evaluation, and presentation of technological and/or methodological alternatives and recommend improvements.
  • Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies.
  • Design, build, and maintain data pipelines and automated extract, transform, load (ETL)  processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks.
  • Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques.
  • Develop dashboards, visualizations, and analytical products to support operational decision‑making.
  • Develop metrics to evaluate statistical accuracy and code performance.
  • Optimize code through advanced algorithmic concepts to facilitate more efficiency.
  • Provide full lifecycle assistance in deploying, optimizing, maintaining complex code with data processing routines running in development, test, and production.

Requirements:

  • 5+ years of experience as a Data Scientist, Data Engineer, Backend Software Engineer, or similar.
  • Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field.
  • Strong skills in Python, R, and SQL.
  • Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting.
  • Experience with data privacy protection and related statistical methodologies is a plus.
  • Experience developing and implementing data reliability, efficiency, and quality checks and processes.
  • Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment.
  • Experience with structured and unstructured databases (such as Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc).
  • Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
  • Experience with GitHub, Subversion, or other source control systems.
  • Experience managing, testing, and deploying software components within SDLC.
  • Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab CI/CD).
  • Excellent communication and teamwork skills.
  • Demonstrated understanding of project management, schedules, and how to estimate the level of effort for development tasks.
  • Experience evaluating proposed systems and recommending improvements; Strong skills preparing and presenting design/architectural documents to clients.
  • Requires a Public Trust - must be US Citizen to be eligible. 

Preferred Qualifications:

  • Experience with and interest in AI/ML, statistics, data modeling, and advanced math highly preferred.
  • Experience with SAS, Apache Spark, PySpark preferred.
  • Experience with Optimization Theory or Gurobi model development preferred, but not required.
  • Experience with data platforms such as Cube, Athena, Redshift, Databricks, Palantir, Snowflake, Google BigQuery.
  • Familiarity with distributed high-performance computing (HPC) and parallel processing.
  • Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures.
  • Experience with microservices architecture and containerization (e.g., Docker, Ansible, Kubernetes).
ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services. With 25+ years of stellar past performance, ActioNet is the premier Trusted Innogrator!
Core Capabilities:
  • Advanced and Managed IT Services
  • Agile Software Development
  • DevSecOps
  • Cybersecurity
  • Health IT
  • C4ISR & SIGINT
  • Data Center Engineering & Operations
  • Engineering & Installation
Why ActioNet?
At ActioNet, our Passion for Quality is at the heart of everything we do:
  • Commitment to Employees: We are committed to making ActioNet a great place to work and continue to invest in our ActioNeters.
  • Commitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence.
  • Commitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation. 
ActioNet is proud to be named a Top Workplace for the eleventh year in a row (2014 - 2024). We have a 98% customer retention rate. We are passionate about the inspirational missions of our customers, and we entrust our employees and teams to deliver exceptional performance to enable the safety, security, health, and well-being of our nation.
What's in It For You?
As an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference?
ActioNet is an equal-opportunity employer and values diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Full-Time Employees are eligible to participate in our ActioNet’s Benefits Program:
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Life and AD&D Insurance
  • 401(k) Savings Plan
  • Education and Professional Training
  • Flexible Spending Accounts (FSA)
  • Employee Referral and Merit Recognition Programs
  • Employee Assistance and Identity Theft Protection
  • Paid Holidays: 11 per year
  • Paid Time Off (PTO)
  • Disability Insurance
 

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