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Data Processing Manager 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 ... Ensure appropriate handling of sensitive data through de-identification, access management, and ...

Prosync

Administrative Manager I

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Prosync

Administrative Manager I

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Milliman

Data Engineer (MedInsight)

Indianapolis, IN · On-site +1

$93K - $177K/yr

... management. MedInsight has been ranked #1 for Payer Quality Analytics by clients for the last three ... Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ...

Prosync

Administrative Manager II

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Prosync

Administrative Manager I

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... data processing and analysis. You will be responsible for developing and implementing data ...

Deloitte

Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Experience implementing data models, data integration patterns, and cloud-based data processing ...

Prosync

Administrative Manager II

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

Prosync

Administrative Manager II

Crane, IN · On-site

By managing administrative operations such as records, logistics coordination, data processing, procurement support, and workplace services, the Administrative Manager contributes directly to ...

calumet

Master Data Manager

Indianapolis, IN

This position recommends, develops, and/or implements process improvements and data management strategies KEY OBJECTIVES AND RESPONSIBILITIES: * Manage the analysis, design, and documentation of the ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources. • Support the integration of data into the enterprise data ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources. • Support the integration of data into the enterprise data ...

Deloitte

AI and Data Science Engineer III

Indianapolis, IN · On-site +1

$109K - $131K/yr

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

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All JobsData Processing Manager JobsData Processing Manager Jobs in Indiana

Data Processing Manager information

See Indiana salary details

$32.8K

$50K

$65.2K

How much do data processing manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data processing manager in Indiana is $49,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,400.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Data Processing Manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What are the key skills and qualifications needed to thrive as a Data Processing Manager, and why are they important?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

Are data managers in demand?

Data processing managers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software, with job growth expected to remain steady as organizations prioritize data management and security.

How much does a data manager earn?

The salary of a Data Processing Manager typically ranges from $70,000 to $130,000 annually, depending on experience, industry, and location. Factors such as certifications in data management tools and leadership skills can influence earning potential.

What is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more depending on the industry and company size. These roles require advanced skills in data strategy, leadership, and often certifications or extensive experience in data management and analytics.

What is the role of a Data Processing Manager?

A Data Processing Manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. The role often requires strong leadership, technical skills, and knowledge of data privacy regulations.

What does a Data Processing Manager do?

A Data Processing Manager oversees the collection, organization, and processing of data within an organization. They are responsible for managing teams that handle data entry, quality control, and the maintenance of databases. Their role includes ensuring data integrity, optimizing processing workflows, and implementing data security protocols. They may also collaborate with IT departments to select appropriate software and hardware for data management. Ultimately, their goal is to ensure accurate and efficient handling of large volumes of data to support business operations.
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 Manager jobs in Indiana? For Data Processing Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Processing Manager jobs in Indiana look for? The top searched job categories for Data Processing Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Processing Manager jobs? Cities in Indiana with the most Data Processing Manager job openings:
Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Indiana as of June 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $49,957 per year, or $24 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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