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Data Processor Jobs in Lansing, MI (NOW HIRING)

Converys

Data Architect

East Lansing, MI · On-site

$105K - $143K/yr

Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns. * Implement data quality rules, validation frameworks, and reconciliation logic. * Optimize ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive. * Build and maintain data ingestion workflows using Apache NiFi. * Develop and support real-time data ...

HireITPeople

Data Warehouse Architect 5

Lansing, MI · On-site

Create automation scripts using Python , Shell scripting , and XML for ETL workflows and data processing. Apply Master Data Management (MDM) and data governance principles to ensure consistency ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive. * Build and maintain data ingestion workflows using Apache NiFi. * Develop and support real-time data ...

FastTek

Data Warehouse Architect

Lansing, MI · On-site

Create automation scripts using Python, Shell scripting, and XML for ETL workflows and data processing. * Apply Master Data Management (MDM) and data governance principles to ensure consistency ...

CFS

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

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

Auto-Owners Insurance

Data Specialist

Lansing, MI · On-site

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 ...

Stem Xpert

Data architect

Lansing, MI · 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 ...

Tech Tammina LLC

Data Engineer

Lansing, MI · 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 ...

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Data Processor information

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How much do data processor jobs pay per hour?

As of Aug 22, 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 bachelor’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.
More about Data Processor jobs

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:

Data Processor jobs near you
Infographic showing various Data Processor job openings in Lansing, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $42,755 per year, or $20.6 per hour.

Data Architect

Converys

East Lansing, MI • On-site

$105K - $143K/yr

Full-time

Posted 29 days ago

Job description

Position Summary

The Data Architect will help design, build, and evolve our nextgeneration enterprise data platform & data integration pipeline. This role is central to our transformation toward a modern, governed, cloudbased data ecosystem that supports all functions at Coverys (notably underwriting, claims, actuarial, finance, and enterprise analytics etc.)

The Data Architect will help define the architectural blueprint, establish data modeling standards, and guide the development of scalable, automated data pipelines in Snowflake. In addition to design of the architecture, this position will work closely with business and technology teams to ensure data is accurate, trusted, and available for advanced analytics, reporting, and operational decisionmaking.

Essential Duties & Responsibilities

Data Architecture & Modeling

  • Design and maintain enterprise data architecture aligned to business domains (Policy, Party, Claims, Billing, Underwriting, etc.).

  • Ensure data architecture design aligns to enterprise architecture standards & partners closely with Enterprise Architecture.

  • Develop canonical and semantic data models to support analytics, reporting, and operational use cases.

  • Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation.

  • Partner with business stakeholders to translate requirements into scalable data structures.

Data Engineering & Pipeline Development

  • Build ELT/ETL pipelines using modern cloud-native tools and frameworks.

  • Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns.

  • Implement data quality rules, validation frameworks, and reconciliation logic.

  • Optimize Snowflake workloads for performance, cost, and reliability.

Cloud Data Platform Leadership

  • Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption.

Governance, Standards & Best Practices

  • Work with Data Governance to establish data dictionaries, lineage, classification, data quality and stewardship models.

  • Ensure consistent use of canonical identifiers across systems and domains.

  • Promote data-as-a-product principles and guide teams toward reusable, scalable data assets.

Collaboration & Leadership

  • Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs.

  • Mentor SQL developers and analytics engineers transitioning into modern data engineering roles. Mentor and coach the data engineering team & lead the development of pipeline and architecture platforms.

  • Provide architectural oversight for major data initiatives across the enterprise.

  • Support evolving business needs, as applicable.

Education, Experience, Competencies & Values

  • Bachelor's degree in computer science or relevant field from an accredited college or university, required.

  • 3-5- years of experience in data architecture, data engineering, required.

  • Strong data modeling expertise (conceptual, logical, physical).

  • Hands-on experience designing enterprise data architectures.

  • Advanced ELT/ETL development experience (preferably cloud-native).

  • Deep experience with cloud data warehouses, ideally Snowflake.

  • Proficiency in Python for data engineering and automation.

  • Strong SQL skills and experience with large-scale data processing.

  • Experience with data quality frameworks, metadata management, and lineage.

  • Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration).

  • Experience in the insurance industry, preferred.

  • Snowflake certification, a plus.

  • Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar.

  • Knowledge of MDM, canonical modeling, and governance frameworks.

  • Experience with Power BI or other BI tools.

  • Qualified candidates must be eligible to work in the US without sponsorship or restriction.

Base salary range is $105,975 - $143,380. Individual compensation packages are based on a variety of factors that are unique to each candidate including location, skill set, experience, qualifications and education.

If you're a caring and customer focused individual who enjoys working with passionate team members, Coverys is the right company for you!

Apply