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Data Processor Jobs in Lansing, MI (NOW HIRING)

Senior Data Engineer

Lansing, MI ยท On-site

$125K - $155K/yr

Experience with real-time analytics and large-scale data processing. * Bonus : Experience with Microsoft Fabric #DataEngineer #LI-HP1

Senior Data Engineer

East Lansing, MI ยท On-site

$125K - $155K/yr

Experience with real-time analytics and large-scale data processing. * Bonus : Experience with Microsoft Fabric #LI-NB5 #INSEP2026

The position analyzes data processes and the needs of users and stakeholders; develops project plans; and designs, implements, and manages data quality, data reporting, and governance solutions. The ...

Senior Data Engineer

Lansing, MI ยท On-site

$125K - $155K/yr

Experience with real-time analytics and large-scale data processing. * Bonus : Experience with Microsoft Fabric #DataEngineer #LI-HP1

Senior Data Engineer

East Lansing, MI ยท On-site

$125K - $155K/yr

Experience with real-time analytics and large-scale data processing. * Bonus : Experience with Microsoft Fabric #LI-NB5 #INSEP2026

Data architect

Lansing, MI ยท On-site

$64.75 - $83.25/hr

... the quality process at its core. We are an Equal Employment Opportunity Employer M/F/V/D ... Job Title: Data Architect Duration: 12+ Months Location: Lansing, MI Complete Description ...

Data Engineer

Lansing, MI ยท On-site

$116K - $139K/yr

... (ETL) processes and developing Data Pipelines. 5+ years' experience with AWS. 5+ years' experience with data warehousing, data visualization Tools, data integrity. 5+ years using CMM/CMMI Level 3 ...

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must ... Drive and desire to automate repeatable processes. * Excellent interpersonal skills and ...

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

DATA ENGINEER LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS ... Drive and desire to automate repeatable processes. * Excellent interpersonal skills and ...

Data Engineer

Lansing, MI ยท On-site

$64K - $173K/yr

The position is open in a data engineering team that is responsible for processing payer files into our Data Warehouse. Required Qualifications * 4+ years of experience working with SQL and ...

New

Data Analyst

Okemos, MI ยท On-site

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Data Platform Architect

Lansing, MI ยท On-site

$64.75 - $83.25/hr

Minimum of 3 years experience in driving RFP process of selecting Data Platform Technologies, partnering with vendors to codevelop innovative EDP capabilities, driving EDP innovation, and promoting ...

Use Python and XML to automate processes, perform data transformations, and integrate automation into ETL workflows. Work extensively in Linux/Unix environments to write shell scripts, manage file ...

Senior Data Architects

Lansing, MI ยท On-site

$68.25 - $91.25/hr

Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

Showing results 21-40

Data Processor information

See Lansing, MI salary details

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How much do data processor jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data processor in Lansing, MI is $20.56, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.69 per hour, depending on experience, location, and employer.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelorโ€™s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

What are popular job titles related to Data Processor jobs in Lansing, MI?

For Data Processor jobs in Lansing, MI, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Lansing, MI look for?

The top searched job categories for Data Processor jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Data Processor jobs?

Cities near Lansing, MI with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Lansing, MI as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $42,755 per year, or $20.6 per hour.

Senior Data Engineer

Lansing, MI โ€ข On-site

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Job description

Position: Senior Data Engineer
Salary: $125,000-$155,000
Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc.
Location: East Lansing, MI area (Onsite)
Why You Should Apply:
  • Outstanding culture with a family-oriented feel, where technology is highly valued.
  • Competitive compensation and benefits package with $0 cost healthcare options.
  • Work in a modern environment with the latest tools, collaborative spaces, and a strong focus on professional growth.
Summary of the Senior Data Engineer Role: We are seeking a Senior Data Engineer with strong SQL skills and hands-on experience working with enterprise data warehouse environments. This role will play a key part in building and maintaining scalable data solutions using Microsoft Fabric and Power BI. If you're passionate about transforming raw data into meaningful insights and enjoy collaborating across teams to support analytics initiatives, this could be a great fit.
Responsibilities of the Senior Data Engineer:
  • Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems.
  • Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory.
  • Write advanced SQL queries, stored procedures, and functions to support high-performance data operations.
  • Apply best practices in data modeling for enterprise-scale data warehouse environments.
  • Architect and manage data warehouse solutions using Microsoft Fabricโ€™s Data Warehouse and OneLake.
  • Ensure consistency, reliability, and scalability of data across reporting and analytics platforms.
  • Work closely with developers to structure data for efficient Power BI usage, including semantic modeling and partitioning.
  • Collaborate with business analysts and stakeholders to gather requirements and deliver clean, actionable datasets.
  • Provide guidance on SQL optimization, data governance, and reporting standards.
Preferred Experience of the Senior Data Engineer:
  • Advanced SQL skills, including query tuning, indexing, and performance optimization.
  • Experience with enterprise data warehouse architecture and implementation.
  • Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI.
  • Solid understanding of data modeling techniques (e.g., star schema, snowflake schema, normalization).
  • Experience with data integration, data orchestration and data ingestion
  • Familiarity with ETL/ELT processes and orchestration frameworks.
  • Strong analytical thinking and problem-solving capabilities.
  • Excellent communication and collaboration skills.
  • Comfortable working in agile, fast-paced environments.
  • Bonus: Experience with real-time analytics and large-scale data processing.
  • Bonus: Experience with Microsoft Fabric
#DataEngineer #LI-HP1