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Data Cleansing Jobs in Nebraska (NOW HIRING)

CAT Modeling Analyst

Omaha, NE · On-site

$75 - $115/hr

Responsibilities include understanding, cleansing, validating, and preparing CAT exposure data, applying insurance and reinsurance policy conditions, and conducting in-depth analysis of client ...

Responsibilities include understanding, cleansing, validating, and preparing CAT exposure data, applying insurance and reinsurance policy conditions, and conducting in-depth analysis of client ...

Play a key role in the 18-month enterprise transition to Microsoft Dynamics 365 Business Central, ensuring robust process architecture, rigorous data migration/cleansing, and high user adoption.

Play a key role in the 18-month enterprise transition to Microsoft Dynamics 365 Business Central, ensuring robust process architecture, rigorous data migration/cleansing, and high user adoption.

Director, Materials

Lincoln, NE · On-site

$140 - $210/hr

Play a key role in the 18-month enterprise transition to Microsoft Dynamics 365 Business Central, ensuring robust process architecture, rigorous data migration/cleansing, and high user adoption.

Play a key role in the 18-month enterprise transition to Microsoft Dynamics 365 Business Central, ensuring robust process architecture, rigorous data migration/cleansing, and high user adoption.

... data validation and cleansing, reconciliations, expense analysis, and recognition of accounting entries. • Define and implement key financial objectives and policies for the Business Unit. Prepare ...

Manage the monthly, quarterly, and year-end financial close processes for the assigned business division, including calculation of COGS and rebate accruals, data validation and cleansing ...

Controller

Omaha, NE · On-site

$120 - $180/hr

Manage the monthly, quarterly, and year-end financial close processes for the assigned business division, including calculation of COGS and rebate accruals, data validation and cleansing ...

New

... data validation and cleansing, reconciliations, expense analysis, and recognition of accounting entries. • Define and implement key financial objectives and policies for the Business Unit. Prepare ...

Contributing to data conversion activities, including data extraction, cleansing, transformation, load preparation, reconciliation, and cutover support to enable accurate and complete migration from ...

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Data Cleansing information

See Nebraska salary details

$32.4K

$78.8K

$129.7K

How much do data cleansing jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data cleansing in Nebraska is $78,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $92,500.00 per year, depending on experience, location, and employer.

What is data cleansing?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

What are the key skills and qualifications needed to thrive in data cleansing, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What are some common challenges faced in data cleansing?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can require attention to detail and familiarity with tools like Excel or specialized software. The difficulty depends on the complexity and size of the data, but it generally requires patience and analytical skills.

What are popular job titles related to Data Cleansing jobs in Nebraska?

For Data Cleansing jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Data Cleansing jobs in Nebraska look for?

The top searched job categories for Data Cleansing jobs in Nebraska are:

Infographic showing various Data Cleansing job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,793 per year, or $37.9 per hour.

Data Software Developer (ETL & AWS Infrastructure)

DATABASE USA LLC

Omaha, NE • On-site

$110 - $150/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About the Role

We are a premier provider of US business and consumer data, powering everything from enterprise-level analytics to real-time applications via our proprietary API and research platforms. We are looking for a Data-Centric Software Developer to bridge the gap between our massive data assets and the high-performance delivery systems our customers rely on.


In this role, you won't just be writing code; you will be architecting the flow of billions of data points. You will oversee our ETL processes, optimize our database architecture, and manage the AWS environment that keeps our API and analysis platforms running at scale.


What You’ll Do

  • Architect ETL Pipelines: Design, build, and maintain complex ETL workflows using Alteryx and custom scripts to ensure data freshness and accuracy across all platforms.

  • Optimize Database Performance: Manage and evolve our database architecture to support high-frequency API queries and large-scale data licensing exports.

  • Own the Cloud: Maintain and scale our AWS environment, ensuring high availability, security, and cost-efficiency for our research and analysis platforms.

  • Enable Integration: Work closely with the product team to develop and refine APIs that allow customers to build their own applications on top of our data.

  • Modernize Workflows: Identify opportunities to automate manual data cleansing and spatial grouping tasks to accelerate delivery times for our research division.


What We’re Looking For

  • The Data Expert: Strong experience with ETL tools, specifically Alteryx (experience with spatial objects and the Command Tool is a significant plus).

  • The Architect: Deep proficiency in SQL and experience designing scalable database schemas for business firmographics or consumer datasets.

  • The Cloud Navigator: Hands-on experience managing AWS services (EC2, S3, RDS, Lambda).

  • The Developer: Proficiency in at least one backend language (Python, Node.js, or similar) to support API development and automation.

  • The Problem Solver: You understand the 'why' behind the data. You don't just move records; you ensure the integrity and usability of the information.


Bonus Points If You Have:

  • Experience with MediaWiki Wikitext or building internal documentation libraries.

  • Familiarity with CRM integrations (Salesforce, HubSpot) or data enrichment workflows.

  • A background in software sales support or 'Sales Engineering.'


Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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