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Home Based Data Validator Jobs (NOW HIRING)

Northeast Family Services

Clinician - Home Based

$55 - $60K/hr

The ISO Home Based Clinician reports to the clinical supervisor and serves as a primary therapist ... Valid driver's license with reliable and consistent access to a vehicle; proof of insurance is ...

New

Northeast Family Services

Clinician - Home Based

$55 - $60K/hr

The ISO Home Based Clinician reports to the clinical supervisor and serves as a primary therapist ... Valid driver's license with reliable and consistent access to a vehicle; proof of insurance is ...

New

Northeast Family Services

Clinician - Home Based

Salem, NH · On-site +1

$55 - $60K/hr

The ISO Home Based Clinician reports to the clinical supervisor and serves as a primary therapist ... Valid driver's license with reliable and consistent access to a vehicle; proof of insurance is ...

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Home Based Data Validator information

What is a home based data validator?

Home Based Data Validators are professionals who work remotely to review, verify, and ensure the accuracy of data entered into computer systems or databases. Their main responsibility is to check for errors, inconsistencies, or missing information in data sets, often using specialized software or spreadsheets. They play a crucial role in maintaining data quality for businesses, research, or administrative purposes. This job typically requires attention to detail, basic computer skills, and sometimes familiarity with specific industries or data formats.

What is the difference between Home Based Data Validator vs Data Entry Clerk?

AspectHome Based Data ValidatorData Entry Clerk
CredentialsBasic computer skills, attention to detailBasic computer skills, typing proficiency
Work EnvironmentRemote, home-basedOffice or remote
Industry UsageData validation, quality controlData input, record keeping
Search IntentJobs involving data validation from homeData entry jobs, clerical work

Home Based Data Validators focus on verifying and ensuring data accuracy remotely, often requiring attention to detail and basic technical skills. Data Entry Clerks primarily input data into systems, with a focus on speed and accuracy. While both roles involve working with data, their core tasks and work environments differ, making this comparison useful for job seekers exploring remote data-related positions.

What are the typical challenges faced by a home based data validator and how can they be effectively managed?

Home Based Data Validators often encounter challenges such as maintaining accuracy while working independently, managing large volumes of data, and adhering to tight deadlines without direct supervision. To effectively manage these challenges, it's important to establish a structured daily routine, utilize reliable data validation tools, and maintain clear communication with team members through digital platforms. Regular self-checks and ongoing training can also help ensure data integrity and personal productivity in a remote environment.

What are the key skills and qualifications needed to thrive as a home based data validator?

To thrive as a Home Based Data Validator, you need strong attention to detail, data entry accuracy, and familiarity with data validation processes, often supported by a high school diploma or equivalent experience. Proficiency with spreadsheet software like Microsoft Excel or Google Sheets, and sometimes knowledge of database management systems, is typically required. Excellent time management, self-motivation, and effective written communication stand out as vital soft skills for remote work. These skills ensure the integrity of data, minimize errors, and enable reliable remote collaboration within data-driven organizations.
More about Home Based Data Validator jobs
What cities are hiring for Home Based Data Validator jobs? Cities with the most Home Based Data Validator job openings:
What are the most commonly searched types of Data Validator jobs? The most popular types of Data Validator jobs are:
What states have the most Home Based Data Validator jobs? States with the most job openings for Home Based Data Validator jobs include:
What job categories do people searching Home Based Data Validator jobs look for? The top searched job categories for Home Based Data Validator jobs are:
Home Based Data Validator jobs near you
Infographic showing various Home Based Data Validator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.