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Data Cleaning Jobs in Delaware (NOW HIRING)

Data Cleaning and Quality Control. Data entry into systems. Data monitoring and reporting to both internal and external stakeholders. Provide Data collection, submission, technical assistance and ...

Data Analyst

Lewes, DE · On-site +1

Collect, clean, and validate data to ensure accuracy and reliability. * Analyze large datasets using statistical methods and data visualization techniques. * Interpret data and present findings to ...

This Data Analyst is responsible for collecting, cleaning, analyzing, and transforming complex clinical, financial, and operational datasets into actionable insights. The position supports reporting ...

Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights. * Excellent problem-solving abilities and attention to detail, with the ...

Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights. * Excellent problem-solving abilities and attention to detail, with the ...

Data Entry Operator As the Data Entry Operator, you will complete basic data entry, scanning and ... Maintain assigned office equipment in a clean and professional manner * Work closely with managers ...

Data Entry Operator As the Data Entry Operator, you will complete basic data entry, scanning and ... Maintain assigned office equipment in a clean and professional manner * Work closely with managers ...

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Data Cleaning information

See Delaware salary details

$8

$38

$85

How much do data cleaning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data cleaning in Delaware is $38.97, according to ZipRecruiter salary data. Most workers in this role earn between $15.80 and $62.31 per hour, depending on experience, location, and employer.

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 Delaware?

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

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

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

What cities in Delaware are hiring for Data Cleaning jobs?

Cities in Delaware with the most Data Cleaning job openings:

Infographic showing various Data Cleaning job openings in Delaware as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,056 per year, or $39 per hour.

Data Management Specialist

New Castle, DE • On-site

Acro Service Corp
Recruiting and Staffing Services • 1 - 5K employees

Other

Re-posted 6 days ago


Job description

Grant Data Cleaning and Quality Control. Data entry into systems. Grant Data monitoring and reporting to both internal and external stakeholders. Provide Grant Data collection, submission, technical assistance and training to provider network who are participating in

federal grants. Provide grant data QC and reports and attend provider check-ins as needed.


Key Skills

  • Experience in training others
  • Strong Excel Skills. Ability to QC data gathered and develop solutions or alternative methods of proceeding.
  • Experience with analyzing and evaluating the effectiveness of operations in meeting established goals and objectives.
  • Ability to make recommendations for and assist in the implementation of new techniques or procedures to improve methods of operations, strengthen controls, and effectively utilize resources and throughout grant changeover periods.
  • High school diploma and 2 year of work experience.