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Home Based Data Validator Jobs (NOW HIRING)

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Employment may be extended based on business needs and performance but is not guaranteed. We are ... Write and execute SQL queries to explore, validate, and interpret data across systems with limited ...

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Home Based Data Validator information

What are Home Based Data Validators?

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, and why are they important?

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.
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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 July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Big data Pyspark Developer

Futran Tech Solutions Pvt. Ltd.

Irving, TX • On-site

$51 - $66/hr

Full-time

Posted 12 hours ago

Job description

Job Title: Big data Pyspark Developer
Work Location : Irving, Texas
Mode: Fulltime
Job Summary
  • Exp 6 Years Must have good technical experience and should be able to provide technical solutions for multiple modules in parallel on need basis and bring the task to closure on time
  • Unix SQL and Shell Scripting experience is a must have
  • Expertise in Designing and developing scalable Apache spark ETL based Data processing pipelines
  • Strong commandline knowledge in UnixLinux with Shell scripting using Bash Kornshell or Perl and File processing using awk scripts
  • Expertise in SQL querying and complex joins
  • Implementing comprehensive Spark based Data validation frameworks transforming large volumes of Financial data within the Project lifecycle
  • Expertise with complex Data workflows with Apache AirFlow managing task dependencies SLAs etc to ensure timely data delivery and corresponding automated validation controls
  • Strong Analytical skills and expertise on SparkSQL for Data analysis and validation ensuring the delivery of clean queryready datasets for business consumption
  • Expertise in Data quality checks and monitoring
  • Quality Engineering team where 70percent of effort will be for developing automation frameworks for testing Remaining 30percent effort will be on manual testing until its fully automated
  • Handson with Automation Framework Design for ETL and API
  • SME in Data Analysis Database testing Messaging queues
  • Experience with coding standards code reviews source management build processes CICD pipeline

Mandatory Skills : Apache Spark, Big Data Hadoop Ecosystem, Python, Python for DATA, SparkSQL

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