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Data Processing Manager Jobs in Indiana (NOW HIRING)

EXOS

Sr. Data Engineer

Indianapolis, IN

$109K - $131K/yr

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

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 ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... in processing and managing large data sets - Design and development for a Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... in processing and managing large data sets - Design and development for a Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or ...

Cummins

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... in processing and managing large data sets - Design and development for a Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

... processing and workflow management - Building and managing data lakes and warehouses to support large-scale data storage and retrieval - Confirming data quality and validation through rigorous ...

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

... in processing and managing large data sets - Design and development for a Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or ...

Rose Acre Farms

CA Operator Processing

Seymour, IN · On-site

Responsible for relieving other jobs throughout the plant as assigned by the processing manager or ... status, genetic data, sexual orientation, gender identity or other legally protected status.

Rose Acre Farms

CA Operator Processing

Seymour, IN · On-site

Responsible for relieving other jobs throughout the plant as assigned by the processing manager or ... status, genetic data, sexual orientation, gender identity or other legally protected status.

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 ...

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 ...

Guidehouse

Data Architect

Indianapolis, IN · On-site

$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 ...

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All JobsData Processing 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 Jul 9, 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 analytical skills, knowledge of data management tools, and experience with data governance, making their roles essential in organizations seeking to optimize data workflows.

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. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics, and governance.

Is a data processor a stressful job?

A data processing manager role can be stressful due to tight deadlines, high accuracy requirements, and managing large volumes of data. The job often involves attention to detail, problem-solving skills, and working with data management tools, which can contribute to workload pressure.

What does a Data Processing Manager do?

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, problem-solving skills, and knowledge of data security and compliance standards.
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 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 $49,957 per year, or $24 per hour.
Sr. Data Engineer

Sr. Data Engineer

EXOS (formerly Sondhi Solutions)

Indianapolis, IN

$109K - $131K/yr

Full-time

Re-posted 6 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