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Data Processing Jobs in Indiana (NOW HIRING)

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Implement and maintain ETL/ELT workflows, data validation, and quality monitoring processes. DataOps / MLOps Enablement: * Implement CI/CD practices for data and ML workflows, including testing ...

Milliman

Data Engineer (MedInsight)

Indianapolis, IN · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. * Design Data Models: Develop and maintain data marts ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

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

AI & GenAI Data Scientist - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Deloitte

Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

Experience implementing data models, data integration patterns, and cloud-based data processing workflows * Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

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 ...

Deloitte

AI Data Engineer - Manager

Indianapolis, IN · On-site

$109K - $131K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Linde

IT Manager - Data & Analytics

Indianapolis, IN · On-site

You will optimize data processes for performance and scalability while proactively driving efficiency and innovation * Moreover, you will champion data quality and governance standards to ensure ...

Deloitte

AI and Data Science Engineer III

Indianapolis, IN · On-site +1

$109K - $131K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

Brotherhood Mutual

Payroll Processor I

Fort Wayne, IN · On-site

Corporate Office (Fort Wayne, IN) JOB SUMMARY Responsible for entering data, processing payroll and providing customer support for Brotherhood Works clients and the Brotherhood Works department.

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... processes including data flows from NFL and third-party sources. • Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). • Collaborate with CRM, ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... process on the follow-up screen. The Indianapolis Colts are seeking an experienced Data Engineer to ... play a key role supporting the organization's data ecosystem, contributing to the development ...

Brotherhood Mutual

Payroll Processor I

Fort Wayne, IN · On-site

Corporate Office (Fort Wayne, IN) JOB SUMMARY Responsible for entering data, processing payroll and providing customer support for Brotherhood Works clients and the Brotherhood Works department.

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All JobsData Processing JobsData Processing Jobs in Indiana

Data Processing information

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How much do data processing jobs pay per hour?

As of Jun 17, 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.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

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.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
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 June 2026, with employment types broken down into 81% Full Time, 5% Part Time, 11% Contract, and 3% Nights. Highlights an 84% In-person, 13% Hybrid, and 3% Remote job distribution, with an average salary of $40,111 per year, or $19.3 per hour.

Data Systems/Solutions Engineer

RR

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Life, Retirement, PTO

Posted 13 days ago

Job description

Position Summary
The Data Systems / Solutions Engineer serves as a key technical contributor within the Regenstrief Data Services team, functioning as a full-stack DataOps/MLOps engineer supporting research and analytics initiatives. This role is responsible for designing, building, and maintaining scalable, reliable data systems and pipelines that enable high-quality data ingestion, transformation, storage, and analysis.
The position emphasizes the development of robust, secure, and reproducible data infrastructure that supports data science, analytics, and AI-driven research. The Engineer applies modern software engineering and data engineering practices to ensure data assets are accessible, well-governed, and aligned with clinical and research requirements.
This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.
Essential Duties and Responsibilities
Data Systems Engineering and Operations:
  • Design, build, and maintain data platforms, pipelines, and services that support research, analytics, and AI/ML workloads.
  • Develop and maintain scalable data architectures using modern data warehouse/lakehouse patterns.
  • Ensure data systems are reliable, performant, and designed for long-term sustainability.
  • Implement and maintain ETL/ELT workflows, data validation, and quality monitoring processes.

DataOps / MLOps Enablement:
  • Implement CI/CD practices for data and ML workflows, including testing, version control, and environment promotion.
  • Support reproducible analytics and ML pipelines, including experiment tracking and model lifecycle considerations.
  • Apply best practices for monitoring, observability, and incident response across data systems.

Cloud, Security, and Governance
  • Design and maintain cloud-based data solutions using secure and scalable architectural patterns.
  • Apply data governance, access control, and auditing practices consistent with HIPAA-aligned research environments.
  • Ensure appropriate handling of sensitive data through de-identification, access management, and compliance controls.
  • Optimize performance and cost efficiency across compute and storage resources.

Clinical and Research Data Support
  • Work with clinical and research stakeholders to translate domain requirements into technical solutions.
  • Support integration and use of clinical and biomedical data standards (e.g., EHR data, HL7/FHIR, OMOP).
  • Produce well-documented data assets and technical specifications to support reuse and transparency.

Collaboration and Project Support
  • Collaborate with data engineers, researchers, analysts, and project managers to deliver high-quality solutions.
  • Contribute to project planning, estimation, and execution.
  • Serve as a technical resource to team members and stakeholders.
  • Document systems, workflows, and architectural decisions clearly and consistently.

Continuous Learning and Innovation
  • Maintain current knowledge of emerging tools, technologies, and best practices in data engineering and AI.
  • Leverage AI-assisted development tools responsibly to improve productivity and code quality.
  • Participate in continuous improvement efforts across systems, processes, and workflows.

Knowledge, Skills, and Abilities
Technical Knowledge:
  • Proficiency in modern data engineering concepts, including:
    • Data warehouse and lakehouse architectures
    • Dimensional modeling and data transformation patterns
    • SQL and at least one general-purpose programming language (e.g., Python)
  • Experience with CI/CD pipelines and automated testing for data and ML workflows
  • Familiarity with data quality frameworks, lineage tracking, and observability tools
  • Understanding of cloud platforms, identity and access management, and security best practices
  • Knowledge of clinical and biomedical data standards and research workflows preferred

Analytical and Problem-Solving Skills
  • Ability to analyze complex technical problems and implement effective solutions
  • Strong troubleshooting skills across data ingestion, transformation, and delivery layers
  • Ability to balance reliability, performance, and cost considerations

Communication and Collaboration
  • Strong written and verbal communication skills
  • Ability to document technical concepts clearly for both technical and non-technical audiences
  • Demonstrated ability to collaborate effectively in multidisciplinary teams

Education and Experience
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field required; Master's degree preferred.
  • Minimum of three (3) years of professional experience in data engineering, systems engineering, or a related technical role.
  • Demonstrated experience in:
    • Data platform or data pipeline development
    • Cloud-based data system
    • SQL and programmatic data processing
    • DataOps or MLOps practices

Performance Expectations
  • Works independently within established guidelines and best practices.
  • Produces high-quality work with minimal supervision.
  • Demonstrates sound judgment and attention to detail.
  • Contributes to continuous improvement of tools, processes, and team effectiveness.

Physical Demands
  • Ability to work standard business hours with flexibility as needed.
  • Ability to sit or stand for extended periods.
  • Ability to operate a computer and standard office equipment.
  • Ability to lift and move materials up to 20 pounds as needed.
  • Ability to travel occasionally for meetings or training.

Work Environment
  • Hybrid office and research environment.
  • Fast-paced, deadline-driven setting.
  • Requires collaboration with internal teams and external partners.
  • Regular use of computers, communication tools, and office equipment.

BENEFITS OF WORKING HERE
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness

Please note sponsorship and/or relocation are not available for this position.
REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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