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Remote Data Cleaning Jobs in Silver Spring, MD (NOW HIRING)

Delan Associates, Inc

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Support dashboard and reporting initiatives by delivering clean, transformed datasets. Utilize SQL and database technologies to improve data processing performance and efficiency. Participate in ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Preprocess or clean structured and unstructured data, including text data. * Design and implement ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Preprocess or clean structured and unstructured data, including text data. * Design and implement ...

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

This role cleans and structures DOE and third-party datasets, applies statistical and econometric ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

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All JobsData Cleaning JobsRemote Data Cleaning JobsRemote Data Cleaning Jobs in Silver Spring, MD

Remote Data Cleaning information

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 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 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 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 are the most commonly searched types of Data Cleaning jobs in Silver Spring, MD? The most popular types of Data Cleaning jobs in Silver Spring, MD are:
What are popular job titles related to Remote Data Cleaning jobs in Silver Spring, MD? For Remote Data Cleaning jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleaning jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Cleaning jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Cleaning jobs? Cities near Silver Spring, MD with the most Remote Data Cleaning job openings:
Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in Silver Spring, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 10% In-person, and 90% Remote job distribution.

Data Engineer II (Remote)

Delan Associates, Inc

Arlington, VA • Remote

$117K - $140K/yr

Full-time

Posted 29 days ago

Job description

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in office. Please Focus on local resources or candidates within a commutable distance to Arlington

Interview: F2F

Assessment: Glider Data Engineering (Advanced)

Overview

seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse, transform and optimize it, and build reporting/dashboard solutions that deliver actionable insights to clients.

The ideal candidate will have strong hands-on experience with Spark, Hadoop, Python, and SQL, along with a background building scalable data pipelines and ETL solutions in large data environments.

Work Schedule

Monday Friday

9:00 AM 5:00 PM ET

Hybrid schedule (3 days onsite per week)

No travel required

Interview Process

Two rounds minimum

Hiring Manager

Team Interview

In-person interviews preferred

Top Required Skills

Apache Spark (PySpark, Spark SQL, Spark Streaming)

Hadoop Ecosystem (HDFS/Ozone, Hive, YARN)

Python

Level Required: Advanced

Key Responsibilities

Design, develop, and support enterprise-scale ETL processes and data pipelines.

Build scalable and efficient data processing solutions that ensure timely delivery of business-critical data.

Develop and optimize big data workflows using Apache Spark and Hadoop technologies.

Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.

Troubleshoot data issues and implement solutions that maintain data integrity and quality.

Support dashboard and reporting initiatives by delivering clean, transformed datasets.

Utilize SQL and database technologies to improve data processing performance and efficiency.

Participate in automation initiatives to streamline operational and data engineering processes.

Follow engineering best practices including code reviews, version control, testing, and data validation.

Ensure compliance with Mastercard internal policies and industry regulations.

Required Qualifications

Experience as a Data Engineer or similar data-focused role.

Strong SQL development and query optimization experience.

Hands-on experience with:

Apache Spark (PySpark, Spark SQL, Spark Streaming)

Hadoop ecosystem (HDFS/Ozone, Hive, YARN)

Python

Experience building and maintaining ETL pipelines.

Understanding of data modeling and database design principles.

Ability to troubleshoot and resolve complex data issues independently.

Experience validating and testing data for quality and consistency.

Strong written and verbal communication skills.

Bachelor's degree in Engineering, Mathematics, Finance, Business, Computer Science, or a related field (or equivalent practical experience).

Additional Details

Excellent opportunity to work on large-scale data platforms supporting global clients.

Target Profile: Data Engineers with strong Spark/Hadoop backgrounds who have built enterprise data pipelines and are comfortable working in a large-scale analytics environment.