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Entry Level Data Manipulation Jobs (NOW HIRING)

Praisidio

Be Seen First

Sales Development Representative - Outbound

San Jose, CA · On-site

$6.0K - $8.0K/mo

With Praisidio, all HR and Business leaders need to do is ask questions or schedule reports -- no more spreadsheet data manipulation or manual analysis is required. Praisidio helps organizations save ...

Assa Abloy

ERP Data Specialist

New Haven, CT

We are seeking an entry level self-motivated professional to join our team as an ERP Data ... Prior work or internship experience with data management and manipulation required. * A general ...

ASSA ABLOY

ERP Data Specialist

New Haven, CT · On-site

We are seeking an entry level self-motivated professional to join our team as an ERP Data ... Prior work or internship experience with data management and manipulation required. * A general ...

Datrose, Inc

Data Entry Clerk

Franklin, TN · Hybrid

$12/hr

This is an entry-level opportunity ideal for an organized, detail-oriented individual with strong ... Preferred Qualifications • Advanced Excel skills, including formulas and data manipulation. • ...

Datrose

Data Entry Clerk

Franklin, TN · On-site

$12/hr

This is an entry-level opportunity ideal for an organized, detail-oriented individual with strong ... Preferred Qualifications • Advanced Excel skills, including formulas and data manipulation. • ...

Consumer Direct Care Network

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

JOB SUMMARY The IT Data Engineer I is an entry-level position within the Enterprise Data department ... Proficiency with SQL and scripting for data manipulation and querying * Exposure to cloud platforms ...

CONSUMER DIRECT CARE NETWORK

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

JOB SUMMARY The IT Data Engineer I is an entry-level position within the Enterprise Data department ... Proficiency with SQL and scripting for data manipulation and querying * Exposure to cloud platforms ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

Perform both geographic and non-geographic data manipulation, data management and analysis, and ... entry-level technical assistance on various environmental issues. * Work on multiple projects ...

CONSUMER DIRECT CARE NETWORK

IT Data Engineer

$117K - $140K/yr

JOB SUMMARY The IT Data Engineer I is an entry-level position within the Enterprise Data department ... Proficiency with SQL and scripting for data manipulation and querying * Exposure to cloud platforms ...

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Entry Level Data Manipulation information

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

As of Jun 23, 2026, the average hourly pay for entry level data manipulation in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Manipulation vs Data Analyst?

AspectEntry Level Data ManipulationData Analyst
Required SkillsBasic data handling, Excel, data cleaningData visualization, statistical analysis, reporting
CertificationsNone or beginner coursesCertifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentEntry-level roles in various industries, often in support teamsMore analytical roles in finance, marketing, or tech companies
Job ResponsibilitiesOrganizing and cleaning data setsInterpreting data, creating reports, providing insights

Entry Level Data Manipulation focuses on basic data handling and cleaning tasks, often as a stepping stone to more advanced roles. Data Analysts perform deeper analysis, interpret data trends, and generate reports. While both roles require familiarity with data tools, Data Analysts typically have broader analytical skills and may hold additional certifications. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

More about Entry Level Data Manipulation jobs
What job categories do people searching Entry Level Data Manipulation jobs look for? The top searched job categories for Entry Level Data Manipulation jobs are:
Entry Level Data Manipulation jobs near you
Infographic showing various Entry Level Data Manipulation job openings in the United States as of June 2026, with employment types broken down into 15% Locum Tenens, 45% Full Time, 17% Part Time, 15% Contract, and 8% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Associate Data Engineer - Client Innovation Center (Entry Level)

Associate Data Engineer - Client Innovation Center (Entry Level)

IBM

Lansing, MI • On-site

$14.50 - $19/hr

Full-time

Posted 14 days ago

IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

100th of 191 rated software companies

Job description

Job Summary:
IBM Consulting Client Innovation Centers (CICs) are environments where technologists build real solutions for clients. The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
Responsibilities:
• Support the development and maintenance of data pipelines used for analytics, reporting, and machine learning
• Assist with extracting, transforming, and loading (ETL/ELT) data from multiple sources into data platforms
• Contribute to data cleansing, validation, and transformation activities using Python and SQL
• Help prepare datasets for downstream consumption by analytics and data science teams
• Support batch and, where applicable, near-real-time data processing workflows under guidance
• Collaborate with data engineers, data scientists, and other team members in Agile delivery environments
• Build data engineering skills through training, mentorship, and hands-on delivery experience
• Work with functional and technical team members to help integrate data solutions into client business environments
Qualifications:
Required:
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Strong analytical and problem-solving skills with attention to data quality and reliability
• Comfortable working onsite in a collaborative, team-based environment
• Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
• Strong analytical and problem-solving skills, with the ability to approach complex tasks using structured, logical thinking
• Ability to learn new systems and technologies quickly and apply them in a delivery setting
• Proficiency in Python (preferred) or another programming language used for data processing
• Hands-on experience using data manipulation tools such as pandas, NumPy, and SQL, gained through coursework, labs, projects, or internships
• Ability to write clear, maintainable code for data transformation and processing tasks
• Understanding of ETL/ELT concepts and how data moves from source systems to consumption layers
• Familiarity with relational databases and SQL for querying and data manipulation
• Basic understanding of data modeling concepts such as schemas, normalization, or dimensional models
• Exposure to cloud-based data or analytics platforms (e.g., AWS, Azure, or Google Cloud) through coursework, labs, or projects
• Familiarity with core cloud data services such as object storage, databases, or analytics services
• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve
• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self-study
Preferred:
• Master's Degree
• Exposure to distributed data processing tools such as Apache Spark or PySpark
• Familiarity with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery)
• Exposure to streaming or event-based data concepts
• Familiarity with version control tools such as Git
• Basic awareness of how data engineering supports machine learning workflows
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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