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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 ...

Cummins

Data Engineer - Senior

Indianapolis, IN · On-site

$101K - $137K/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.

New

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$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 ...

Pae

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Design, develop, and optimize scalable data processing applications. * Write clean, efficient, and reusable Python code for data engineering and analytics tasks. * Analyze complex datasets to ...

Amentum

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Design, develop, and optimize scalable data processing applications. * Write clean, efficient, and reusable Python code for data engineering and analytics tasks. * Analyze complex datasets to ...

RushShelby Energy

Process & Data Analyst

Manilla, IN · On-site

The Process & Data Analyst will play a critical role in leveraging data to enhance operational efficiency, member satisfaction, and strategic decision-making. This position requires advanced ...

Deloitte

Databricks Data Engineer

Indianapolis, IN · On-site

$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 ...

Cummins Inc.

Data Engineer - Senior

Indianapolis, IN · On-site

$109K - $131K/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.

New

Cummins

Data Engineer - Senior

Indianapolis, IN · On-site

$109K - $131K/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.

New

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$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 ...

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 ...

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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.
Signal Processor (SIGPRO) Subject Matter Expert (SME) - SPY-1

Signal Processor (SIGPRO) Subject Matter Expert (SME) - SPY-1

Kratos Defense

Crane, IN

Full-time

Re-posted 6 days ago

Kratos Defense & Security Solutions rating

7.4

Company rating: 7.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Kratos is seeking an experienced Signal Processor (SIGPRO) Subject Matter Expert (SME) to support the sustainment, overhaul, and modernization of the AN/SPY-1 radar system, with a specific focus on the signal processor subsystem. The SME will provide in-depth technical guidance across engineering, sustainment, and depot-level repair planning. This position plays a critical role in restoring and modernizing radar capabilities by supporting design recovery, system troubleshooting, test strategy development, and obsolescence resolution for legacy digital and analog processing architectures.

Key Responsibilities:

  • Lead efforts to analyze and document the design and functional behavior of legacy signal processor components, including digital processing modules, interface cards, and timing assemblies.
  • Support design recovery and traceability efforts, working from GFI, limited technical data, or harvested hardware.
  • Define and support the development of prototype subassemblies, repair processes, and test capabilities to validate organic sustainment approaches.
  • Develop and validate functional test procedures, signal flow diagrams, and performance benchmarks.
  • Identify critical components at risk due to obsolescence, and support alternate part qualification, reverse engineering, or redesign as necessary.
  • Coordinate with systems engineers, test engineers, and OEM partners to ensure alignment with weapon system interface requirements and mission-critical timing/data processing functionality.
  • Provide technical input to Integrated Technical Data Packages (ITDPs), depot stand-up planning, and operator/maintainer training materials.
  • Ensure test and repair processes comply with NAVSEA and METCAL standards where applicable.
  • Serve as the technical lead for the AN/SPY-1 Signal Processor subsystem across all radar variants (D, D(V), D(MOD)).

Required Qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field.
  • Understanding of legacy digital processing architectures, A/D conversion, timing synchronization, and signal conditioning.
  • Experience with diagnostics, troubleshooting, and repair at the board and component level.
  • Familiarity with tools used for signal integrity analysis, logic analyzers, and boundary scan testing.
  • Proven ability to read, interpret, and reverse-engineer technical data, schematics, and embedded processing logic.
  • Experience developing or reviewing test procedures and technical documentation for government sustainment programs.
  • Active Secret Clearance


Preferred Qualifications:

  • Prior work with AEGIS Combat System interfaces, SPY-1 timing architectures, or radar track processing functions.
  • Familiarity with DoD obsolescence mitigation strategies, including reverse engineering, emulation, and form-fit-function redesign.
  • Experience supporting ORDALT implementation, depot activation, or prototype validation.
  • Knowledge of Model-Based Systems Engineering (MBSE) practices or digital engineering toolsets.
  • Minimum of 5+ years of experience with radar or advanced signal processing systems, including 5+ years supporting AN/SPY-1 or equivalent phased array radar systems.


Travel: ~10-20%, including to shipyards, government labs, and partner facilities.

#LI-Onsite

#LI-AC1


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