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Data Cleaning Jobs in Reston, VA (NOW HIRING)

BAE Systems

Data Scientist Sr

Reston, VA · On-site

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

BAE Systems

Data Eng II

Reston, VA · On-site

$121K - $145K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform analysis using AI techniques * Provide data preprocessing, quality checks, data integration ...

BAE Systems

Data Eng Sr

Reston, VA · On-site

$121K - $145K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform analysis using AI techniques * Provide data preprocessing, quality checks, data integration ...

Cymertek Corporation

Data Scientist

Reston, VA · On-site

... data cleaning and preprocessing • Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research ...

Cymertek Corporation

Data Scientist

Chantilly, VA · On-site

... data cleaning and preprocessing • Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research ...

Peers and Partners

Clinical Data Manager

Bethesda, MD · On-site

Support data collection, data entry, data validation, data cleaning, data reconciliation, and quality assurance activities. * Review clinical research data for completeness, accuracy, consistency ...

Peers and Partners

Clinical Data Manager

Bethesda, MD · On-site

Support data collection, data entry, data validation, data cleaning, data reconciliation, and quality assurance activities. * Review clinical research data for completeness, accuracy, consistency ...

Insilico Logix

Data Analyst

Herndon, VA · On-site

$60K - $70K/yr

... cleaning and data coding. - Merge multiple datasets using advanced functions of Excel and other statistical applications. - Design, conduct, analyze and report on quantitative and qualitative ...

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Data Cleaning information

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

What are the most commonly searched types of Data Cleaning jobs in Reston, VA?

The most popular types of Data Cleaning jobs in Reston, VA are:

What are popular job titles related to Data Cleaning jobs in Reston, VA?

For Data Cleaning jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Data Cleaning jobs in Reston, VA look for?

The top searched job categories for Data Cleaning jobs in Reston, VA are:

What cities near Reston, VA are hiring for Data Cleaning jobs?

Cities near Reston, VA with the most Data Cleaning job openings:

Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in Reston, VA as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution.

Senior BI Data Researcher

Dhaka Technologies Limited Company

Washington, DC • Remote

$140K - $160K/yr

Full-time

Posted 17 days ago

Job description

Job Title: Senior BI Data Researcher
Work Arrangement: 100% Remote
Location: Remote (United States)
Employment Type: Full Time
Engagement Type: Direct Hire
Final Interview:

Position Summary

Dhaka Technologies Limited Company is hiring a Senior BI Data Researcher for a direct-hire client in the education and research sector. This is a full-time, 100% remote position with a base salary of $140,000 to $160,000 per year. The role focuses on advanced research and engineering across the modern data landscape, including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogeneous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, and natural language processing. The work also spans big data systems concerns such as resource management, storage, caching, query processing, query optimization, security, and privacy.

Key Responsibilities

  1. Investigate heterogeneous data management techniques and polystore systems, including the application of AI and machine learning techniques to foundational data management problems such as data quality, data profiling, data integration, and schema matching.
  2. Develop tools and frameworks that enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio, and video.
  3. Create distributed data processing architectures that leverage compute at the edge to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
  4. Collaborate with peer research teams to identify and pursue data-related opportunities in adjacent domains, including applied AI and machine learning in audio and video.

Required Skills and Qualifications

  1. PhD in Computer Science or a closely related field.
  2. Strong background in relational databases, big data systems, and data analytic systems.
  3. Expertise in data management, data cleaning, distributed systems, database storage engines, query processing, query optimization, and applied data science.
  4. Hands-on experience developing machine learning models and data science algorithms across diverse data types, including tabular, time series, text, audio, and video.
  5. Working knowledge of Git and project management tools such as JIRA.

How to Apply

To apply, please submit your resume to talent@dhakatech.us with the job title in the subject line. Qualified candidates will be contacted for the next steps in the selection process.

This is a remote position.