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Data Processing Jobs in Indiana (NOW HIRING)

EXOS

Sr. Data Engineer

Indianapolis, IN

$109K - $131K/yr

Develop solutions within Databricks to support scalable data processing * Implement and support CI/CD pipelines for data workflows * Create reusable, modular code to improve development efficiency ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high ...

Pwc

Data Engineer - Manager

Indianapolis, IN

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Manager

Indianapolis, IN

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives. Responsibilities To be successful in this role you will need the following:

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives. Cummins is an equal opportunity employer. Our policy is to provide equal ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives. Cummins is an equal opportunity employer. Our policy is to provide equal ...

Cummins

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives. Cummins is an equal opportunity employer. Our policy is to provide equal ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and ...

Guidehouse

Data Architect

Indianapolis, IN

$61 - $78.25/hr

Experience with SQL and distributed data processing frameworks * Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have * Strong understanding of ...

Guidehouse

Data Architect

Indianapolis, IN

$61 - $78.50/hr

Experience with SQL and distributed data processing frameworks * Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have * Strong understanding of ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Design, develop, and maintain ETL/ELT processes for both on-premises and cloud-based data platforms, ensuring alignment with established architectural and development standards. * Ingest data from on ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Design, develop, and maintain ETL/ELT processes for both on-premises and cloud-based data platforms, ensuring alignment with established architectural and development standards. * Ingest data from on ...

Cummins

Data Engineer - Senior

Indianapolis, IN · On-site +1

$110K - $135K/yr

Drive innovation through modern data architecture by leveraging cloud and distributed platforms (e.g., Data Lakes, NoSQL, Hadoop ecosystems) to support high-volume, high-velocity data processing.

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Data Processing information

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How much do data processing jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data processing in Indiana is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $21.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Processing jobs in Indiana? The most popular types of Data Processing jobs in Indiana are:
What are popular job titles related to Data Processing jobs in Indiana? For Data Processing jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Indiana look for? The top searched job categories for Data Processing jobs in Indiana are:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,111 per year, or $19.3 per hour.
Sr. Data Engineer

Sr. Data Engineer

EXOS

Indianapolis, IN

$109K - $131K/yr

Full-time

Re-posted 7 days ago

Job description

Location: Onsite (Preferred)
Employment Type: Direct Hire 
Overview:

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building scalable, efficient data solutions. This role is ideal for someone who thrives in a modern data stack environment and takes a pragmatic, problem-solving approach to development. The ideal candidate is not just a coder, but an efficiency-focused engineer; someone who builds reusable components, leverages existing code, and avoids unnecessary reinvention.

Key Responsibilities:
  • Design, develop, and maintain data pipelines and workflows using modern tools and frameworks
  • Write and optimize complex code using Python and SQL
  • Build and manage data transformations using DBT and/or SQLMesh
  • Develop solutions within Databricks to support scalable data processing
  • Implement and support CI/CD pipelines for data workflows
  • Create reusable, modular code to improve development efficiency and scalability
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Troubleshoot and optimize performance across data systems

Required Qualifications:
  • 3-7+ years of experience in data engineering or data development
  • Strong hands-on experience with:
    • Databricks
    • Python
    • SQL
  • Experience with DBT and/or SQLMesh
  • Familiarity with CI/CD practices in a data environment
  • Proven ability to write clean, scalable, and efficient code
  • Strong problem-solving skills and the ability to work independently
Preferred Qualifications:
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with data warehousing and lakehouse architectures
  • Experience building modular or reusable code frameworks
  • Exposure to Agile development environments

Education:Employment Type: FULL_TIME

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