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Part Time Remote Data Entry Jobs in Jackson, NJ (NOW HIRING)

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Part Time Remote Data Entry information

See Jackson, NJ salary details

$11

$19

$28

How much do part time remote data entry jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for part time remote data entry in Jackson, NJ is $19.50, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Entry professional, and why are they important?

To thrive as a Part Time Remote Data Entry professional, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and basic database systems is typically required. Excellent time management, reliability, and self-motivation are crucial soft skills for meeting deadlines and maintaining accuracy when working independently. These skills ensure data integrity and efficient workflow in a remote environment where direct supervision is limited.

What is a part time remote data entry job?

A part time remote data entry job involves entering, updating, and managing data for a company or organization from a remote location, such as your home. These roles typically require you to input information into databases, spreadsheets, or other digital systems. The position is part time, meaning you work fewer hours than a full-time employee, often with flexible scheduling. Remote data entry jobs are popular for those seeking flexibility and the ability to work from anywhere with a reliable internet connection.

Does Amazon really hire people to work from home?

Amazon offers remote job opportunities, including data entry roles, which are often part-time and require basic computer skills. These positions typically involve flexible schedules and may require completing online training or assessments. However, applicants should verify job postings directly on Amazon's official careers website to ensure legitimacy and specific job details.

Are there legit remote data entry jobs?

Part time remote data entry jobs are available and can be legitimate opportunities. Reputable employers typically require basic computer skills, attention to detail, and may use specific data entry software or tools. Job seekers should verify the company's credibility and avoid positions that ask for upfront payments or personal financial information.

What is the difference between Part Time Remote Data Entry vs Part Time Remote Data Processing?

AspectPart Time Remote Data EntryPart Time Remote Data Processing
CredentialsBasic computer skills, typing proficiencyBasic computer skills, sometimes specific software knowledge
Work EnvironmentRemote, flexible hours, home-basedRemote, flexible hours, home-based
Industry UsageCommon in administrative and clerical sectorsUsed in data analysis, processing, and management roles
Search IntentJobs involving data entry tasksJobs involving processing and managing data

Part Time Remote Data Entry focuses on inputting data into systems, requiring typing skills and basic computer knowledge. Part Time Remote Data Processing involves handling and analyzing data, often requiring additional software familiarity. Both roles are remote and flexible but serve different functions within data management.

Are part-time data entry jobs real?

Part-time data entry jobs are legitimate positions that involve inputting information into digital systems, often requiring basic computer skills and attention to detail. These roles are commonly offered remotely and can be found through reputable job boards, but applicants should be cautious of scams and verify the employer's credibility.

How do part-time remote data entry professionals typically manage communication and collaboration with their teams?

Part-time remote data entry professionals usually rely on digital tools like email, instant messaging, and project management platforms to communicate with supervisors and colleagues. Regular check-ins, either through scheduled video meetings or daily updates, help ensure everyone is aligned on deadlines and priorities. Since the role is remote and often asynchronous, clear and prompt communication is essential to clarify expectations and resolve any data-related issues. Being proactive in reporting progress and asking questions when needed helps maintain workflow efficiency and build trust within the team.

How to make $1000 a week remotely?

A part-time remote data entry job can contribute to earning $1000 weekly by working multiple hours, often 30-40 hours, depending on pay rates which typically range from $10 to $20 per hour. Increasing efficiency, gaining skills in data management tools, and seeking higher-paying opportunities can help reach this income goal.
What are popular job titles related to Part Time Remote Data Entry jobs in Jackson, NJ? For Part Time Remote Data Entry jobs in Jackson, NJ, the most frequently searched job titles are:
What cities near Jackson, NJ are hiring for Part Time Remote Data Entry jobs? Cities near Jackson, NJ with the most Part Time Remote Data Entry job openings:
Part Time Remote Data Entry jobs near you
Infographic showing various Part Time Remote Data Entry job openings in Jackson, NJ as of June 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 69% Full Time, 26% Part Time, and 2% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $40,565 per year, or $19.5 per hour.

Remote | Data Pipeline & Analytics Engineering Consultant -- $95-$135/hour

24-MAG

New York, NY • Remote

$95 - $135/hr

Part-time, Contractor

Posted 16 days ago

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in data engineering, analytics engineering, ETL/ELT workflows, pipeline orchestration, data quality testing, warehouse design, and structured technical documentation processes.

This role supports current and upcoming remote consulting opportunities focused on structured data pipeline review, analytics engineering workflow analysis, orchestration assessment, data quality validation, warehouse documentation, and high-quality project execution. Selected professionals will apply their data engineering expertise to review realistic pipeline scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks.

Key Responsibilities

Professionals in this role may contribute to:

Pipeline Development & ETL/ELT Review

  • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tables
  • Evaluate pipeline outputs against defined data contracts, expected table structures, source materials, and transformation requirements
  • Support structured review of SQL models, dbt projects, pipeline documentation, transformation logic, and data processing workflows
  • Identify missing logic, incorrect transformations, schema issues, and expected pipeline outcomes

Orchestration, Testing & Data Quality

  • Review orchestration scenarios involving Airflow, Dagster, Prefect, scheduled jobs, DAG dependencies, retries, and workflow execution
  • Evaluate data quality tests against known pass/fail cases, validation rules, test suites, and documented expectations
  • Support structured review of data quality checks, pipeline test cases, orchestration documentation, and monitoring workflows
  • Prepare clear written explanations for data engineering decisions based on source materials and verifiable criteria

Warehouse Design & Data Contracts

  • Review warehouse design scenarios involving schemas, data models, performance targets, query-time budgets, partitioning, clustering, and storage design
  • Evaluate schema designs against defined contracts, downstream requirements, performance expectations, and documented constraints
  • Support structured review of data contracts, schema documentation, warehouse models, and analytics engineering artifacts
  • Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • 3+ years of experience in data engineering, analytics engineering, data platform engineering, BI engineering, warehouse engineering, or related technical roles
  • Experience with one or more areas such as dbt model development, ETL/ELT pipelines, orchestration, data quality testing, warehouse design, schema documentation, incremental models, or data contracts
  • Familiarity with tools and platforms such as dbt, Airflow, Dagster, Prefect, Snowflake, BigQuery, Redshift, Databricks, Spark, SQL, Python, or similar data engineering systems
  • Comfort reading and preparing data engineering artifacts such as dbt models, DAGs, schema docs, data contracts, test suites, pipeline documentation, and warehouse diagrams
  • Strong written communication skills and ability to explain data engineering reasoning clearly
  • Ability to follow structured instructions and produce evidence-based work

Educational Background

  • Bachelor's or master's degree in computer science, data engineering, information systems, software engineering, statistics, mathematics, or a related technical field is helpful
  • Equivalent practical experience in data engineering, analytics engineering, data platform work, pipeline development, or warehouse design is also highly relevant

Nice to Have

  • Experience with dbt model development, data contracts, incremental models, data lineage, orchestration frameworks, or modern data stack workflows
  • Familiarity with Snowflake, BigQuery, Redshift, Databricks, Spark, SQL optimization, Python-based pipelines, or cloud data platforms
  • Experience preparing or reviewing DAGs, schema documentation, data quality tests, transformation logic, warehouse models, or pipeline runbooks
  • Familiarity with CI/CD for data pipelines, data observability, testing frameworks, or performance tuning
  • Strong attention to detail in code-heavy, data-heavy, and documentation-based technical environments

Why This Opportunity

  • Apply data engineering and analytics engineering expertise to structured remote project work
  • Contribute to high-quality pipeline review, data quality assessment, orchestration analysis, and warehouse documentation workflows
  • Work on flexible, project-based assignments aligned with your professional background
  • Use your data engineering judgment in a focused, detail-oriented consulting environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment depending on project availability
  • Competitive rates between $95–$135 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy