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Data Cleansing Jobs (NOW HIRING)

MSR Cosmos

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

Arka Infotech Inc

MDM Data Analyst

Manhasset, NY · On-site

This person will be responsible for managing data cleansing, de-duplication, and harmonization of data. Must have strong skills writing advanced SQL, functions, and procedures and will have expertise ...

eTeam

PLM Data Migration Architect

San Jose, CA · On-site

$74.75 - $96/hr

Data Mapping, Data Cleansing, Validation, Dry Runs, Cutover Planning, Rollback Strategy. • Work closely with solution architects, business stakeholders, and delivery teams to ensure a successful ...

MSRCosmos

AWS Data Architect

Torrance, CA · On-site

$65.50 - $84.25/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

Navtech, Inc.

SAP Data Migration Lead

Good experience in working with the client in Data Quality, Profiling and Cleansing, Data harmonization * Good experience in developing reate data migration strategy and approach for S/4 HANA ...

CYNET SYSTEMS

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

Data Cleansing. Statistical Tools. SQL. Oracle. Business Objects. UNIX Shell Programming. SAS. Visual Basic. Perl. C. Strong verbal and written communication skills. Qualification And Education:

CYNET SYSTEMS

Operations Data Analyst

Dublin, CA · On-site

$43 - $48/hr

Data Cleansing. * Statistical Tools. * SQL. * Oracle. * Business Objects. * UNIX Shell Programming. * SAS. * Visual Basic. * Perl. * C. * Strong verbal and written communication skills. Qualification ...

SR Talent Solution Inc

Data Scientist

Woodlawn, MD · On-site

Practical experience using Regex for advanced text processing, data cleansing, and pattern matching. * Familiarity with specialized libraries and frameworks including: * Linkage libraries such as ...

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Data Cleansing information

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How much do data cleansing jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data cleansing in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
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Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

AWS Data Architect

MSR Cosmos

Torrance, CA • On-site

$66.50 - $85.50/hr

Contractor

Re-posted 26 days ago

Job description

Role: AWS Data Architect

Location: Torrance CA Onsite-4 days a week

Duration: Long Term

Key Responsibilities

Data Architecture Design:

  • Architect and implement a scalable data hub solution on AWS using best practices for data ingestion, transformation, storage, and access control.
  • Define data models, data lineage, and data quality standards for the Datahub.
  • Select appropriate AWS services (S3, Glue, Redshift, Athena, Lambda) based on data volume, access patterns, and performance requirements.
  • Come up with a design that accommodates AI/ML applications in the next phase
  • Data Ingestion and Integration:
  • Design and build data pipelines to extract, transform, and load data from various sources (databases, APIs, flat files) into the Datahub using AWS Glue, AWS Batch, or custom ETL processes.
  • Implement data cleansing and normalization techniques to ensure data quality.
  • Manage data ingestion schedules and error handling mechanisms.
  • Data Governance and Access Control:
  • Establish data access controls and security policies to protect sensitive data within the Datahub using IAM roles and policies.
  • Develop data governance frameworks including data quality checks, data lineage tracking, and data retention policies.
  • Data Analytics Enablement:
  • Create data catalogs and metadata management systems to facilitate data discovery and understanding by business users and data analysts.
  • Design and implement data views and dashboards using Power BI to enable data exploration and visualization.
  • Create data warehouses and data marts to meet the needs of the business
  • Monitoring and Optimization:
  • Monitor data pipeline performance, data quality, and system health to identify and resolve issues proactively.
  • Optimize data storage and processing costs by leveraging AWS cost optimization features.
  • Data Exchange
  • Develop the required governance, security, monitoring and guard rails to enable efficient data exchange between internal application and their external vendors, partners, and SaaS providers
  • Develop intake process, SLAs, and usage rules for internal and external data set producers and consumers

Required Skills and Experience:

  • AWS Expertise: Deep understanding of AWS data services including S3, Glue, Redshift, Athena, Lake Formation, Sep Functions, CloudWatch and EventBridge.
  • Data Modeling: Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes.
  • Data Engineering Skills: Experience with ETL/ELT processes, data cleansing, data transformation, and data quality checks. Experience with Informatica IICS and ICDQ is a plus.
  • Programming Languages: Proficiency in Python, SQL, and potentially Pyspark for data processing and manipulation.
  • Data Governance: Knowledge of data governance best practices including data classification, access control, and data lineage tracking.

Preferred Qualifications:

  • Experience with data lake house architectures and the ability to leverage both structured and unstructured data.
  • Familiarity with data visualization tools like Tableau or Power BI.
  • Strong communication and collaboration skills to work with stakeholders across business and technical teams.
  • AWS certifications related to data analytics and architecture.
Thanks
Ramesh