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Part Time Data Cleaning Jobs in Colorado (NOW HIRING)

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

... data retrieval and cleaning, modeling, accuracy evaluation and testing, and visualization ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

... cleaning, modeling, accuracy evaluation/testing, and visualization * Experience working on ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... data retrieval and cleaning, modeling, accuracy evaluation or testing, and visualization ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... data retrieval and cleaning, modeling, accuracy evaluation and testing, and visualization ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Keeps buildings clean and orderly. Performs heavy cleaning duties, including cleaning floors ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Keeps buildings clean and orderly. Performs heavy cleaning duties, including cleaning floors ...

We offer competitive pay, part-time/full-time employment, and health benefits when eligible. We ... Efficiently and correctly operate data entry devices. * Maintain a clean and safe service island.

Rental Car Cleaner

Denver, CO · On-site

$20.50/hr

We offer competitive pay, part-time/full-time employment, and health benefits when eligible. We ... Efficiently and correctly operate data entry devices. * Maintain a clean and safe service island.

... clean and orderly work area. Required Qualifications * Ability to read, interpret, and record data ... In Washington, part-time Associates receive sick leave consistent with state law. Part-time ...

... a clean and organized workspace. - Working collaboratively with your teammates to keep things ... Msg & data rates may apply. Powered by Homebase. Free employee scheduling, time clock and hiring ...

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Part Time Data Cleaning information

What are the key skills and qualifications needed to thrive as a part time data cleaning professional?

To thrive as a Part Time Data Cleaning professional, you need strong attention to detail, basic data analysis skills, and familiarity with spreadsheet software, often supported by a high school diploma or equivalent. Proficiency with tools like Microsoft Excel, Google Sheets, and sometimes data cleaning platforms such as OpenRefine is typically required. Strong organizational skills, problem-solving abilities, and reliability help individuals excel in this role. These skills ensure that data is accurate, consistent, and ready for analysis, directly impacting the quality of business decisions.

What is the difference between Part Time Data Cleaning vs Part Time Data Entry?

AspectPart Time Data CleaningPart Time Data Entry
Required SkillsAttention to detail, basic data management, familiarity with cleaning toolsTyping speed, accuracy, basic computer skills
Work EnvironmentRemote or office, often involves reviewing and cleaning datasetsRemote or office, involves inputting data into systems
Common CertificationsNone typically required, but familiarity with Excel or data tools helpsNone typically required, basic computer proficiency needed

Part Time Data Cleaning focuses on reviewing and correcting datasets to ensure accuracy, while Part Time Data Entry involves inputting data into systems. Both roles often require basic computer skills and can be performed remotely or in an office setting. Data Cleaning emphasizes accuracy and attention to detail, whereas Data Entry emphasizes speed and typing skills.

What are some common challenges faced by part time data cleaning professionals, and how can they be effectively managed?

Part-time data cleaning professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, working within tight deadlines, and understanding the context of unfamiliar datasets. To manage these challenges, it's important to develop strong attention to detail, communicate regularly with data owners or team members for clarifications, and utilize data cleaning tools or scripts to improve efficiency. Establishing a routine for documenting changes and maintaining clear records can also help ensure data quality and consistency, even when working limited hours.

What is part time data cleaning?

Part time data cleaning involves working on a flexible or reduced schedule to organize, correct, and prepare data for analysis. The main responsibilities include identifying and removing duplicate or inaccurate records, standardizing formats, and ensuring data completeness and reliability. This role is important for businesses and organizations that rely on accurate data for decision-making, but do not require a full-time data specialist. Part time data cleaners may use tools like Excel, Google Sheets, or specialized data cleaning software. The position can be remote or onsite, depending on the employer's needs.

What are the most commonly searched types of Data Cleaning jobs in Colorado?

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

What are popular job titles related to Part Time Data Cleaning jobs in Colorado?

For Part Time Data Cleaning jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Part Time Data Cleaning jobs in Colorado look for?

The top searched job categories for Part Time Data Cleaning jobs in Colorado are:

What cities in Colorado are hiring for Part Time Data Cleaning jobs?

Cities in Colorado with the most Part Time Data Cleaning job openings:

Infographic showing various Part Time Data Cleaning job openings in Colorado as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Data Engineer

Booz Allen Hamilton, Inc.

Colorado Springs, CO • On-site, Remote

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0246414
Location:
Colorado Springs,CO,US
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Data Engineer
The Opportunity:
Achieving data dominance provides a critical competitive advantage, especially in the frontier of space. For USSPACECOM, high-fidelity simulations rely entirely on the quality, speed, and structure of underlying data. We need a dedicated data engineer to build the robust data infrastructure that makes these advanced simulations possible.
As a data engineer at Booz Allen, you will focus on the foundational layer of our customer's modeling, simulation, and analysis environment. You will design, build, and deploy the scalable data pipelines that ingest disparate, multi-domain, and multi-classification data sources and transform them into clean, structured schemas. Your work will directly empower our multi-disciplinary team of exercise planners, systems architects, data scientists, and model-based system engineers to draw insights and execute mission-critical models.
Work with us to build the data foundation for the future of space operations.
Join us. The world can't wait.
You Have:
  • Experience in object-oriented programming such as Python, Java, or C++ and advanced SQL
  • Experience integrating APIs, designing data schemas, and normalizing complex, disparate datasets
  • Knowledge of database systems and data warehousing principles
  • Ability to design, build, and maintain robust ETL/ELT data pipelines at scale
  • TS/SCI clearance
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a STEM field

Nice If You Have:
  • Experience with infrastructure-as-code (IaC) and automation scripts
  • Experience integrating with Palantir Foundry or similar enterprise data fabrics
  • Experience with streaming data processing such as Apache Kafka or Spark
  • Experience working in an Agile engineering environment and supporting MLOps pipelines
  • Master's degree in a quantitative or systems-focused STEM field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914