1

Data Preprocessing Jobs (NOW HIRING)

The ideal candidate will enhance workflows and automate processes to improve data preprocessing productivity and support advanced data analysis initiatives. Responsibilities : • Work to enhance ...

$110K - $132K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Agentic AI Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

$134K - $161K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

$109K - $131K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

$118K - $142K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

This role plays a critical part in improving preprocessing productivity and advancing mission ... Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation ...

Support data pipeline setup and maintenance for data preprocessing activities across all security domains. Minimum Qualifications: * 18+ years of relevant experience; BA can account for 4 years while ...

Perform data cleaning, preprocessing, and feature engineering on structured and unstructured datasets. * Develop pipelines for model training, evaluation, and deployment. * Collaborate with cross ...

Data Eng II

Reston, VA · On-site

$79K - $134K/yr

Provide data preprocessing, quality checks, data integration, and visualization creation * Provide quality assurance, and complex data visualizations * Develop dashboards with tools like Tableau or ...

Data Eng Sr

Reston, VA · On-site

$97K - $164K/yr

Provide data preprocessing, quality checks, data integration, and visualization creation * Provide quality assurance, and complex data visualizations * Develop dashboards with tools like Tableau or ...

next page

Showing results 1-20

Data Preprocessing information

See salary details

$46K

$165K

$243.5K

How much do data preprocessing jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data preprocessing in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

What are the key skills and qualifications needed to thrive as a Data Preprocessing Specialist, and why are they important?

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

What are some common challenges faced in a Data Preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.
More about Data Preprocessing jobs
What cities are hiring for Data Preprocessing jobs? Cities with the most Data Preprocessing job openings:
What states have the most Data Preprocessing jobs? States with the most job openings for Data Preprocessing jobs include:
Infographic showing various Data Preprocessing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Analyst - Mid

GRVTY

Falls Church, VA • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis in direct support of Machine Learning model development. The ideal candidate will enhance workflows and automate processes to improve data preprocessing productivity and support advanced data analysis initiatives.
Responsibilities:
• Work to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity
• Lead and conduct projects using advanced mathematical, statistical, and scientific techniques to: Examine complex mission and operational problem sets Create insights from large, complex datasets
• Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation capabilities
• Apply statistical and analytic methods to support: Answer intelligence questions and mission requirements Advanced data analysis initiatives
• Build lightweight analytic tools to: Visualize data metrics Assess progress of data preprocessing efforts against customer goals
• Design methods and mechanisms to track, report, and monitor data to ensure pipeline movements are timely and support all necessary processes
• Develop systems to provide automated checks on data and processes to guarantee continuous pipeline support
• Ingest and rectify non-standard data and data in formats new within the Data Management Platform (DMP) for integration and curation
• Generate and manage data dictionaries to ensure information stays updated as data tables change
• Provide data analysis expertise to determine whether imagery curation techniques and strategies are effective in identifying images of value, including: Images containing set criteria Images meeting specific imagery characteristics
Qualifications:
Required:
• Active TS/SCI Clearance with the ability to obtain a CI/Poly
• Experienced in preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets
• Experience with programming languages and tools including: Python, R, SQL, GIS, Tableau
• Experience developing visualizations to communicate analytical results to technical audiences and non-technical stakeholders
Preferred:
• Experience working in AI/ML-relevant fields related to imagery exploitation
Company:
GRVTY is a defense technology company that provides software and data solutions for defense sectors. Founded in 2024, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.