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Entry Level Data Processing Jobs in Michigan (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Grand Rapids, MI · On-site

$77K - $202K/yr

... data processing and analysis. You will be responsible for developing and implementing data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... data processing and analysis. You will be responsible for developing and implementing data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI · On-site

$99K - $232K/yr

... Data Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Customer Service

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Entry Level Operations Assistant

Troy, MI · On-site

We are seeking a highly motivated and detail-oriented Entry Level Operations Assistant to join our ... Responsibilities Data Entry & Processing: * Review incoming information for completeness and ...

Customer Service

Be Seen First

Entry Level Operations Assistant

Troy, MI · On-site

We are seeking a highly motivated and detail-oriented Entry Level Operations Assistant to join our ... Responsibilities Data Entry & Processing: * Review incoming information for completeness and ...

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Entry Level Data Processing information

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

As of Jun 18, 2026, the average hourly pay for entry level data processing in Michigan is $15.43, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $16.35 per hour, depending on experience, location, and employer.

How can I make $2000 a week working from home?

Entry level data processing jobs can offer remote work opportunities that, with consistent effort and high productivity, potentially generate around $2000 weekly. Achieving this income typically requires processing large volumes of data, developing strong skills in data tools like Excel or SQL, and working efficiently within a flexible schedule. Building experience and increasing workload can help reach higher earnings over time.

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 are entry level data processing jobs?

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 job makes $10,000 a month without a degree?

Entry-level data processing roles typically do not pay $10,000 a month without significant experience or specialized skills. High-paying jobs in data processing usually require advanced knowledge of programming, data analysis tools, or certifications, and often involve roles such as data engineer or analyst with experience. Achieving such income levels generally involves gaining expertise and working in high-demand environments or freelance projects.

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.

Can I work a data entry job with no experience?

Entry level data processing jobs typically do not require prior experience, as they often focus on basic data entry tasks that can be learned quickly. Basic skills in typing, attention to detail, and familiarity with spreadsheet or database software are usually sufficient to start such roles.

How do I get into data processing?

To get into data processing as an entry-level role, develop skills in data management, Excel, and basic programming languages like Python or SQL. Gaining relevant certifications or completing online courses can improve your chances, and internships or entry-level positions provide practical experience in data handling environments.
What are the most commonly searched types of Data Processing jobs in Michigan? The most popular types of Data Processing jobs in Michigan are:
What are popular job titles related to Entry Level Data Processing jobs in Michigan? For Entry Level Data Processing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Processing jobs in Michigan look for? The top searched job categories for Entry Level Data Processing jobs in Michigan are:
Entry Level Data Processing jobs near you
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 9 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.

What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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