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Data Modeling Jobs in Indiana (NOW HIRING)

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

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 ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

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 ...

BC Forward

Data Analyst (HEDIS)

Indianapolis, IN · On-site

$51 - $55/hr

Apply data analysis and data modeling techniques to establish, modify, or maintain complex data structures and components to improve efficiency. Investigate and resolve significant technical database ...

Subaru

Data Analytics Developer

Lafayette, IN

Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed * Develop ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Implement data models for analytics use cases * Write data quality checks and tests for data pipelines * Configure orchestration and workflow tooling to support delivery * Implement infrastructure as ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Implement data models for analytics use cases * Write data quality checks and tests for data pipelines * Configure orchestration and workflow tooling to support delivery * Implement infrastructure as ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Implement data models for analytics use cases * Write data quality checks and tests for data pipelines * Configure orchestration and workflow tooling to support delivery * Implement infrastructure as ...

BC Forward

Data Engineer IV

Indianapolis, IN · On-site

$69 - $71/hr

Build and optimize ETL/ELT workflows, data models, and data warehouse architectures. Implement data quality frameworks with validation, monitoring, alerting, and lineage tracking. Develop and manage ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop and optimize SQLbased transformations and data models that support enterprise reporting, analytics, and data products. * Partner with business, analytics, and engineering teams to create ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN

$109K - $131K/yr

Develop and optimize SQLbased transformations and data models that support enterprise reporting, analytics, and data products. * Partner with business, analytics, and engineering teams to create ...

Lasting Change, Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Develop analytical and dimensional data models optimized for reporting and self-service analytics. * Build and maintain Power BI semantic models, reports, and dashboards as needed. * Ensure datasets ...

Lasting Change Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Develop analytical and dimensional data models optimized for reporting and self-service analytics. * Build and maintain Power BI semantic models, reports, and dashboards as needed. * Ensure datasets ...

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Data Modeling & Governance * Implement and maintain PostgreSQL and medallion-layer data models, including harmonization logic, referential integrity, lineage tracking, and governed data standards.

New

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop and optimize SQL-based transformations and data models that support enterprise reporting, analytics, and data products. * Partner with business, analytics, and engineering teams to create ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop and optimize SQL-based transformations and data models that support enterprise reporting, analytics, and data products. * Partner with business, analytics, and engineering teams to create ...

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Data Modeling information

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How much do data modeling jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data modeling in Indiana is $55.87, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $64.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

Will data modeling be replaced by AI?

Data modeling is a fundamental skill for data modelers, and while AI tools can assist in automating certain tasks like generating schemas or analyzing data patterns, they do not fully replace the need for human expertise in designing, validating, and understanding complex data structures. Data modelers will continue to play a critical role in ensuring data quality and integrity, often working alongside AI technologies. Proficiency in data modeling tools and concepts remains essential for the role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures using tools like ER diagrams and modeling languages. It requires strong analytical skills, knowledge of database systems, and often benefits from certifications such as Certified Data Management Professional (CDMP). The role offers opportunities in various industries with a typical work environment focused on data accuracy and efficiency.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.
What are the most commonly searched types of Data Modeling jobs in Indiana? The most popular types of Data Modeling jobs in Indiana are:
What are popular job titles related to Data Modeling jobs in Indiana? For Data Modeling jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Indiana look for? The top searched job categories for Data Modeling jobs in Indiana are:
Data Modeling jobs near you
Data Engineer II

Data Engineer II

Brotherhood Mutual

Fort Wayne, IN • On-site

$113K - $135K/yr

Full-time

Posted 19 days ago

Brotherhood Mutual rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

220th of 281 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".
Equal Opportunity Employer
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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