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Data Preparation Jobs (NOW HIRING)

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

Prepare and communicate metrics and context of data team contributions to client delivery routinely by leveraging expertise in Microsoft Office and display oral and written presentation skills.

Navtech, Inc.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Experience working with data preparation and data quality Responsibilities: * The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze, design, and deliver ...

Alliance Drawback Services

Sr. Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

They are seeking a Senior Data Analyst to lead end-to-end analytics projects, manage data, and ... compliance. • Prepare and validate import/export datasets aligned with evolving regulatory ...

Avance Consulting Services

Data Analyst

Milford, CT

... data preparation including data cleaning, standardization and analysis Well experienced In working with distributed teams in global environment Providing end to end leadership in delivering ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

... preparation techniques to improve data integration and consumption Collaborate with data governance teams to review, validate, and promote business and data science assets into the curated data ...

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How much do data preparation jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data preparation in the United States is $25.77, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $29.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Preparation position, and why are they important?

To thrive in Data Preparation, you should possess strong analytical skills, attention to detail, and proficiency in managing large datasets, often supported by a background in statistics, mathematics, or computer science. Familiarity with data wrangling tools such as SQL, Python (pandas), or specialized ETL software is typically required, and certifications in data analytics or data engineering are advantageous. Excellent problem-solving abilities, communication skills, and adaptability stand out in this role. These skills ensure data quality, streamline data workflows, and support effective collaboration with analysts and data scientists to drive organizational insights.

What jobs make $1,000,000 a year?

In data preparation roles, earning $1,000,000 annually is uncommon; such high salaries are typically associated with executive positions, specialized consulting, or entrepreneurial ventures. Highly experienced data professionals in leadership or niche fields may reach this level, often requiring advanced skills, certifications, and extensive industry experience.

What are some typical daily tasks for someone working in Data Preparation?

A Data Preparation professional typically spends their days gathering, cleaning, and organizing raw data from various sources to make it ready for analysis. This involves identifying data discrepancies, standardizing formats, and collaborating with data analysts or engineers to resolve data quality issues. You may also automate parts of the data pipeline, document processes, and troubleshoot issues to ensure data accuracy and reliability. Working closely with cross-functional teams ensures that the data provided meets the needs of different business or research objectives. Mastery of these daily responsibilities enables smoother downstream analysis and a critical foundation for data-driven decision-making.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the job description of data preparation?

Data preparation involves cleaning, transforming, and organizing raw data to ensure it is accurate, complete, and suitable for analysis. This process includes tasks such as removing duplicates, handling missing values, and formatting data using tools like Excel, SQL, or data processing software. Data preparation is a critical step in data analysis and machine learning workflows.

What is a Data Preparation job?

A Data Preparation job involves collecting, cleaning, structuring, and transforming raw data into a usable format for analysis or machine learning. Professionals in this role ensure data quality by handling missing values, removing duplicates, and standardizing formats. They work with databases, ETL tools, and programming languages like SQL or Python. Data preparation is crucial for accurate analytics, reporting, and AI model performance.

What is the role of data preparation?

Data preparation involves cleaning, transforming, and organizing raw data to ensure it is accurate, consistent, and suitable for analysis or modeling. Data preparation specialists use tools like Excel, SQL, or data processing software to improve data quality and facilitate efficient analysis. This step is essential for reliable insights and effective decision-making in data-related roles.
More about Data Preparation jobs
What are the most commonly searched types of Data Preparation jobs? The most popular types of Data Preparation jobs are:
What states have the most Data Preparation jobs? States with the most job openings for Data Preparation jobs include:
What job categories do people searching Data Preparation jobs look for? The top searched job categories for Data Preparation jobs are:
Data Preparation jobs near you
Infographic showing various Data Preparation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $53,606 per year, or $25.8 per hour.
Data Quality Analyst (TS/SCI)

Data Quality Analyst (TS/SCI)

Beyond SOF

Reston, VA • On-site

Full-time

Re-posted 24 days ago

Job description

Data Quality Analyst (TS/SCI)
  • Reston, VA, USA
  • Full-time
  • Clearance: Top Secret/SCI

Job Description
Contribute to an effective enterprise data strategy, applying foundational knowledge of data management and data architecture to analyze data, and identify bottlenecks, design flaws, and surface opportunities for data optimization.Prioritize, deconflict and craft backlog requirements for a team of data acquisition professionals while coordinating data task requirements with personnel conducting data reconnaissance or providing feedback on behalf of the client organization.Seek, identify, and suggest solutions to fill potential gaps in data feeds across the scope of sources available to client and user communities.Demonstrate knowledge of data structures to identify structural deficiencies or opportunities for enhanced delivery and report potential data quality issues.Leverage knowledge of defense and intelligence-related data source content to apply contextual expertise when submitting or prioritizing backlog requirements to contribute relevant perspective to data tasks.Prepare and communicate metrics and context of data team contributions to client delivery routinely by leveraging expertise in Microsoft Office and display oral and written presentation skills.
Qualifications
  • Experience working with data structures or executing data preparation tasks using SQL, Python, R, or Java
  • Experience working with various intelligence disciplines, including GEOINT, HUMINT, MASINT, OSINT, and SIGINT and comprehension of the data and tools associated with these disciplines
  • Experience with intelligence or operations analysis in DoD or intelligence communities
  • Knowledge of Microsoft Office 2013 or newer
  • Ability to drive to continually improve technical expertise and grow as an IT professional
  • Ability to exhibit flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations

Additional Qualifications:
  • Knowledge of data integration or BI tool suites to visualize big data sets
  • Knowledge of Atlassian tool suite; JIRA and Confluence
  • Possession of oral and written presentation skills
  • DoD 8570 Compliance Certification, including Security+

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