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Data Preparation Jobs (NOW HIRING)

OneTrust

Senior Principal Data Analyst

Atlanta, GA

$82K - $104K/yr

You'll be responsible for leading data preparation and transformation processes, ensuring that our data is clean, accurate, and ready for analysis. Your expertise in developing advanced Power BI ...

Alphatec Spine

Research Data Engineer

Carlsbad, CA

$118K - $142K/yr

We are seeking a Research Data Engineer to support clinical research activities by building and maintaining reliable data pipelines and preparing high-quality datasets for researchers and analysts.

Samprasoft

Senior ML Data Engineer - Remote

Plano, TX · Remote

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

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 ...

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 ...

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 ...

National Resident Matching Program

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Using modern data preparation, integration and metadata management tools and techniques. * Tracking data consumption patterns. * Monitoring schema changes. * Recommending and automating -- existing ...

National Resident Matching Program

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Using modern data preparation, integration and metadata management tools and techniques. * Tracking data consumption patterns. * Monitoring schema changes. * Recommending and automating - existing ...

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 ...

Danaher

Data Scientist

$74K - $111K/yr

Perform data preparation, exploratory and statistical analysis, feature engineering, model validation, and result interpretation using enterprise-scale data platforms. * Leverage core technical tools ...

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How much do data preparation jobs pay per hour?

As of Jun 20, 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 roles in high-growth industries like finance or technology. Highly experienced professionals with advanced skills in data management, analytics, or leadership may reach this level through bonuses, profit sharing, or equity. Most data preparation jobs offer salaries significantly below this threshold.

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 profession makes $400,000 a year?

In the field of data preparation, senior data engineers or data architects with extensive experience and advanced skills in tools like SQL, Python, and cloud platforms can earn salaries approaching or exceeding $400,000 annually. These roles typically require specialized certifications, leadership responsibilities, and often work in large organizations or tech companies.

What is the job description of data preparation?

Data preparation involves cleaning, transforming, and organizing raw data to ensure it is accurate, consistent, and suitable for analysis. It includes tasks such as removing duplicates, handling missing values, and formatting data using tools like Excel, SQL, or data processing software. This process is essential for reliable data analysis and often requires attention to detail and knowledge of data management techniques.

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.

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:
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Data Preparation jobs near you
Infographic showing various Data Preparation job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $53,606 per year, or $25.8 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

A3 Missions, LLC

Fort George G Meade, MD

Other

Posted 13 days ago

Job description

Primary Responsibilities: Perform exploratory and diagnostic analyses to reveal trends and anomalies
Develop and test ML models for threat detection and risk scoring
Create data visualizations and analytical reports
Support data preparation, transformation, and quality assurance
Collaborate with data engineers on model operationalization
Document analytical methods and findings
Required Qualifications: Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
Proficiency in Python, R, SQL
Experience with ML libraries (scikit-learn, pandas, numpy)
Data visualization skills (Matplotlib, Seaborn, Plotly)
Understanding of statistical methods and data mining
Strong analytical and problem-solving abilities
U.S Citizenship required
DoD TS clearance with ability to obtain/maintain SCI Preferred Qualifications: Data science certifications
Master's degree preferred in Data Science, Statistics, or related field (Bachelor's degree required)

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