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Data Preparation Jobs (NOW HIRING)

Maxar Technologies, Inc.

Data Scientist

Reston, VA · On-site

Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team ...

Maxar

Data Scientist

Reston, VA · On-site

Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team ...

Ascent

Data & AI Engineer

$117K - $140K/yr

Perform data preparation, transformation, and consolidation * Support integration of prepared data into GenAI workflows * Assist with generating summaries and structured outputs via LLMs * Ensure ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Own the data preparation for monthly reports to insurance partners. * Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting). Billing System Data ...

USM

Data Scientist

Columbus, IN

These include preliminary data exploration and data preparation steps, variable/algorithm selection and model development/validation and scoring. With guidance, develop and test algorithms' efficacy ...

SIEGEL GROUP NEVADA INC

Data Analyst

Las Vegas, NV

Preparation of executive summaries for management team in the form of dashboard, data graphing, and PowerPoint presentations. * Custom report writing in Excel and other reporting tools. * Afterhours ...

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Data Preparation information

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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 Scientist

Data Scientist

Maxar Technologies, Inc.

Reston, VA • On-site

Full-time

Retirement

Re-posted 19 days ago

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI Polygraph.
This project supports a hard and deeply buried target mission set, providing critical analytic insights to government stakeholders. Success depends on the development of accurate, scalable, and mission-tailored data solutions that enable timely and informed decision-making. The work directly impacts national security objectives by transforming complex data into actionable intelligence in a highly specialized and sensitive domain.
Responsibilities:
  • Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under established best practices.

  • Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (e.g., Spark, Hadoop, or managed cloud services).

  • Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.

  • Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed.

  • Write clear, well-structured documentation of methods, assumptions, and results; assist with briefings or presentations to technical and non-technical stakeholders.

  • Support the use of Large Language Models (LLMs) within existing systems and workflows, including:

  • Implementing LLM-based solutions for summarization, tagging, classification, and information retrieval.

  • Integrating pre-trained LLMs into pipelines to improve knowledge discovery and data accessibility.

  • Assisting with deployment and evaluation of internal LLM-enabled tools or assistants.

  • Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.

Minimum Qualifications:
  • Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.

  • 5 years of professional experience in data science, analytics, or data engineering roles.

  • Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 2 yrs of experience.

  • Strong coding proficiency in Python and SQL, with experience writing production-quality, maintainable code; working knowledge of R is a plus.

  • Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow), and automation tools.

  • Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.

  • Ability to clearly communicate technical concepts and analytical results in writing and verbally.

  • Familiarity with NLP and LLM concepts, including practical experience applying pre-trained models (e.g., GPT-style models) for automation, summarization, or search.

  • Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.

Preferred Qualifications:
  • Master's degree in data science, computer science, statistics, engineering, or a related technical field.

  • Experience with cloud-based environments (e.g., AWS, Azure, or GCP) and scalable data processing pipelines.

  • Working knowledge of NLP techniques, embeddings, vector search, or retrieval-augmented generation (RAG).

  • Experience integrating LLMs into applications or workflows using APIs and open-source tooling.

  • Exposure to CI/CD, version control, testing frameworks, and software engineering best practices.

  • Interest in responsible AI principles, model evaluation, and risk-aware deployment of LLM-based solutions.

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
• The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.
For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
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About Maxar Technologies

Sourced by ZipRecruiter

Maxar Technologies, headquartered in Denver, CO, US, is a space technology company established in 1969. Operating in the Aerospace Industry, Maxar's key areas of business include Earth Intelligence and Space Infrastructure. The products they offer are critical for global communications, environmental monitoring, national security, intelligence operations, disaster response, and more. Passionate about unlocking the potential of space, Maxar's mission is "to build a better world by harnessing space technology". The company prides itself on advancing state-of-the-art technology, delivering exceptional customer service, and driving growth.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1969

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