2

Entry Level Data Processing Jobs (NOW HIRING)

Be Seen First

Big Data Engineer

New York, NY · On-site

$30 - $40/hr

Entry-Level Data Engineer Job Title: Entry-Level Data Engineer Location: Candidate must be open ... Help automate routine data processing tasks. * Ensure data quality, integrity, and security.

Entry-Level Data Entry- Now Hiring! Are you tech-savvy, detail-driven, and ready to be the backbone ... If you require a reasonable accommodation during the application or interview process, please ...

Provide entry-level data processing support by entering, updating, and maintaining records with a high level of accuracy. Assist the accounting office with various administrative and clerical tasks ...

Provide entry-level data processing support by entering, updating, and maintaining records with a high level of accuracy. Assist the accounting office with various administrative and clerical tasks ...

Provide entry-level data processing support by entering, updating, and maintaining records with a high level of accuracy. Assist the accounting office with various administrative and clerical tasks ...

This is an entry-level role, the Data Processing Chemist I, will be responsible for collaborating with chemists, of various levels, performing supportive tasks to ensure efficient processing of ...

Provide entry-level data processing support by entering, updating, and maintaining records with a high level of accuracy. Assist the accounting office with various administrative and clerical tasks ...

Entry-Level Admin - Immediate Openings (1st & 2nd Shift) Are you a detail-oriented multitasker with ... Accurately assemble, audit, and process daily paperwork and route documents. * Handle incoming ...

next page

Showing results 1-20

Entry Level Data Processing information

See salary details

$12

$17

$24

How much do entry level data processing jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for entry level data processing in the United States is $17.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $18.75 per hour, depending on experience, location, and employer.

How do I get into entry level data processing?

To enter an entry-level data processing role, candidates typically need a high school diploma or equivalent, basic computer skills, and familiarity with data management tools like Excel or database software. Gaining knowledge of data entry, cleaning, and processing techniques, along with some understanding of programming languages such as SQL or Python, can improve job prospects. Internships or certifications in data management can also provide valuable experience for beginners.

What are the key skills and qualifications needed to thrive as an entry level data processing professional, and why are they important?

To thrive as an Entry Level Data Processing professional, you need strong attention to detail, basic data entry skills, and proficiency with spreadsheets or database software, typically supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, Google Sheets, and data management systems is often required. Organizational skills, reliability, and the ability to work accurately under deadlines are valuable soft skills in this role. These competencies help ensure accurate, efficient management of data and contribute to the overall integrity of business operations.

What is the difference between Entry Level Data Processing vs Data Entry Clerk?

AspectEntry Level Data ProcessingData Entry Clerk
Required SkillsBasic data handling, software familiarityTyping, data input accuracy
CertificationsNone typically requiredNone typically required
Work EnvironmentOffice, remote optionsOffice, data centers
Industry UsageData management, analysis supportData input, record keeping

Entry Level Data Processing involves handling and preparing data for analysis, often requiring familiarity with data software. Data Entry Clerks focus on accurately inputting data into systems. While both roles require attention to detail, data processing may involve more technical skills, whereas data entry emphasizes speed and accuracy.

What is an entry level data processing job?

Entry level data processing jobs involve handling, organizing, and entering data into computer systems or databases. These roles typically include responsibilities such as verifying data accuracy, updating records, and ensuring information is stored securely. No advanced technical skills are usually required, but attention to detail and basic computer proficiency are important. These positions often serve as a starting point for careers in data management, analysis, or IT.

What are some common challenges faced by entry level data processing professionals, and how can they be addressed?

Entry-level data processing professionals often encounter challenges such as managing large volumes of data, maintaining data accuracy, and adapting to various software tools and platforms. It's important to develop strong attention to detail and effective time-management skills to ensure data is processed efficiently and accurately. Seeking guidance from more experienced team members, participating in training sessions, and staying updated on best practices can help new hires overcome these challenges and contribute successfully to the team.
More about Entry Level Data Processing jobs
What cities are hiring for Entry Level Data Processing jobs? Cities with the most Entry Level Data Processing job openings:
What are the most commonly searched types of Data Processing jobs? The most popular types of Data Processing jobs are:
What states have the most Entry Level Data Processing jobs? States with the most job openings for Entry Level Data Processing jobs include:
Infographic showing various Entry Level Data Processing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,820 per year, or $17.7 per hour.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

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


Job description

Entry-Level Data Engineer

Job Title: Entry-Level Data Engineer

Location: Candidate must be open relocate.

Employment Type: Full-time

Job Summary

We are looking for a motivated Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work closely with data engineers, analysts, data scientists, and software developers to ensure data is accurate, reliable, and accessible.

This position is ideal for recent graduates or candidates with internship or project experience in data engineering, computer science, or related fields.

Key Responsibilities

  • Assist in developing and maintaining ETL/ELT data pipelines.
  • Collect, clean, transform, and validate data from multiple sources.
  • Support the design and optimization of databases and data warehouses.
  • Monitor data pipeline performance and troubleshoot issues.
  • Write efficient SQL queries to extract and analyze data.
  • Collaborate with cross-functional teams to understand data requirements.
  • Document data workflows, processes, and technical specifications.
  • Participate in code reviews and follow engineering best practices.
  • Help automate routine data processing tasks.
  • Ensure data quality, integrity, and security.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Basic understanding of SQL and relational databases.
  • Familiarity with at least one programming language such as Python, Java, or Scala.
  • Knowledge of data structures and algorithms.
  • Understanding of ETL/ELT concepts and data modeling fundamentals.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
  • Willingness to learn new technologies and tools.

Preferred Qualifications

  • Internship or academic project experience in data engineering or analytics.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to big data technologies like Apache Spark or Hadoop.
  • Experience with version control systems such as Git.
  • Knowledge of workflow orchestration tools (e.g., Apache Airflow).
  • Basic understanding of data warehousing concepts.

Technical Skills

  • SQL
  • Python (preferred)
  • Git
  • Relational databases (PostgreSQL, MySQL, SQL Server, etc.)
  • Basic Linux/Unix commands
  • Excel
  • Cloud fundamentals (AWS, Azure, or GCP)

Soft Skills

  • Problem-solving mindset
  • Attention to detail
  • Communication skills
  • Team collaboration
  • Time management
  • Adaptability
  • Eagerness to learn

Thanks