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Data Processing Manager Jobs in Indiana (NOW HIRING)

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 ... Manage and optimize data solutions utilizing relational, dimensional, and file-based storage ...

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 ... Manage and optimize data solutions utilizing relational, dimensional, and file-based storage ...

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

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 ...

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

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

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

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

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

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 ...

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 ...

Data Engineer - Senior

Indianapolis, IN · On-site

$109K - $131K/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 ...

New

Data Engineer - Senior

Indianapolis, IN · On-site

$109K - $131K/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 ...

New

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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 8, 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:
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.
Data Engineer II

Data Engineer II

Brotherhood Mutual

Fort Wayne, IN • On-site

$113K - $135K/yr

Full-time

Re-posted 7 days ago


Brotherhood Mutual rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

217th of 278 rated insurance


Job description

Job Title: Data Engineer II

FLSA Status: Exempt

Job Family: IT - Business Intelligence

Department: IT - Business Intelligence 

Location: Corporate Office (Fort Wayne, IN)

JOB SUMMARY
Responsible for designing, building, and supporting enterprise data pipelines and platforms that facilitate analytics, regulatory reporting, and business intelligence throughout Brotherhood Mutual. Requires demonstrating expertise across all phases of development, from acquiring data from source systems to timely loading of enterprise data stores for analytic, regulatory, and reporting purposes.

POSITION ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • 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-premises and cloud source systems into centralized analytical platforms, such as data warehouses, lakehouses, and curated enterprise data models.
  • Build and maintain database objects including tables, views, stored procedures, and semantic models to support reporting, analytics, regulatory, and operational data needs.
  • Manage and optimize data solutions utilizing relational, dimensional, and file-based storage, including cloud-hosted data warehouses and data lake environments.
  • Implement data quality checks, reconciliation processes, and monitoring to ensure enterprise datasets are accurate, complete, and reliable.
  • Analyze data to identify gaps, inconsistencies, and quality issues, contributing to the continuous improvement of data pipelines and models.
  • Identify and fix problems related to databases, data pipelines, and query performance.
  • Collaborate with business stakeholders, analysts, and IT partners to gather requirements and translate them into scalable data solutions.
  • Provide delivery planning support, including effort estimation and assistance with establishing delivery timelines.
  • Develop and deploy data solutions using standardized development, testing, deployment, and rollback procedures.
  • Support operational readiness by participating in system upgrades, platform changes, and disaster recovery testing for data platforms.
  • Maintain awareness of evolving data engineering tools and cloud technologies through training and professional development opportunities.
  • Complete other duties and projects as assigned.

KNOWLEDGE, SKILLS, AND ABILITIES
The requirements listed below are representative of the knowledge, skills, and/or abilities required to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Strong proficiency in SQL and relational database concepts.
  • Working knowledge of cloud-based data services, including Microsoft Azure and Microsoft Fabric data platform components.
  • Proficiency in Python as the primary programming language for data engineering, including experience with Microsoft Fabric notebooks and Spark/PySpark-based data processing frameworks.
  • Solid understanding of data engineering principles, including data modeling, pipeline orchestration, and performance optimization.
  • Experience with dimensional, analytical, statistical, and relational data models.
  • Ability to design, support, and troubleshoot enterprise-scale data pipelines and data platforms.
  • Strong analytical and problem-solving skills, with attention to data quality and detail.
  • Ability to manage multiple priorities and deliver results in a fast-paced environment.
  • Demonstrated ability to work effectively within a collaborative, cross-functional team environment.
  • Proven ability to learn and apply modern technologies, tools, and methodologies.
  • Effective verbal, written, and interpersonal communication skills.
  • Strong customer service mindset when working with internal stakeholders and partners.


EDUCATION AND/OR EXPERIENCE
List Degree Requirement, Years' Experience, and Certifications

  • Associate’s degree in Information Technology, Computer Science, or a related field, or equivalent practical experience is required
  • Three (3) or more years of experience working with database technologies and data integration platforms (e.g., SQL Server, Informatica, SAP, Oracle, Microsoft Fabric, AWS or similar) is required.
  • Bachelor’s degree in Information Technology, Computer Science, or a related field is preferred.
  • Experience in or exposure to the insurance industry is preferred.

Terms and Conditions

This description is intended to describe the general content of and requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

Because the company’s niche is the church and related ministries market, and because effective service requires a thorough understanding of this market, persons in this position must be familiar with church operations and must conduct themselves in a manner that will neither alienate nor offend persons within this target niche.

Brotherhood Mutual Insurance Company reserves the right to modify, interpret, or apply this position description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying this position. This position description is not an employment contract, implied or otherwise. The employment relationship remains “at-will”.


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