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Data Warehouse Developer Jobs in Indiana (NOW HIRING)

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Engineer applies modern software engineering and data engineering practices to ensure data ... Develop and maintain scalable data architectures using modern data warehouse/lakehouse patterns.

Luna Data Solutions, Inc.

Data Engineer - ONSITE

Butler, IN · On-site

$117K - $140K/yr

This role focuses on designing structured data models, developing SQL-driven data warehouses, and ... This is a hands-on engineering role ideal for someone who thrives in complex data ecosystems ...

Merchants Bancorp

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to ... Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and ...

Merchants Bank of Indiana

Data Engineer

Carmel, IN

$108K - $130K/yr

Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to ... Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... ELT, Data Warehouse, BI Tools, and everything in between Maintain documentation for data ...

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... ELT, Data Warehouse, BI Tools, and everything in between Maintain documentation for data ...

Subaru

Data Analytics Developer

Lafayette, IN · On-site

Data Analytics Developer Information Technology Department Position Summary: Data Analytics ... Design, create, and maintain data warehouses, data lakes, data marts, etc. to support analysis and ...

Group 1001

Senior Data Engineer

Zionsville, IN · On-site

$102K - $139K/yr

The Senior Data Engineer will lead data pipeline development and drive excellence in data warehouse design, mentoring team members and delivering solutions that impact business outcomes in insurance ...

Group 1001

Senior Data Engineer

Zionsville, IN · On-site

$102K - $139K/yr

The Senior Data Engineer will lead data pipeline development and drive excellence in data warehouse design, while mentoring team members and delivering solutions that impact business outcomes.

Circle

Staff Software Engineer, Data Platform

Miami, IN · On-site +1

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance.

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All JobsData Warehouse Developer JobsData Warehouse Developer Jobs in Indiana

Data Warehouse Developer information

See Indiana salary details

$12

$51

$69

How much do data warehouse developer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data warehouse developer in Indiana is $51.79, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $61.78 per hour, depending on experience, location, and employer.

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

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges Data Warehouse Developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What are Data Warehouse Developers?

Data Warehouse Developers are IT professionals who design, build, and maintain data warehouse systems that consolidate and organize data from multiple sources. They create data models, develop extraction, transformation, and loading (ETL) processes, and ensure data integrity and optimal performance for analytics and reporting. Their work supports business intelligence efforts by making large volumes of data accessible and useful for decision-making.

What Is a Data Warehouse Developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

What is the difference between Data Warehouse Developer vs Data Analyst?

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

More about Data Warehouse Developer jobs
What are popular job titles related to Data Warehouse Developer jobs in Indiana? For Data Warehouse Developer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Developer jobs in Indiana look for? The top searched job categories for Data Warehouse Developer jobs in Indiana are:
What are popular job titles related to Data Warehouse Developer jobs in IN? For Data Warehouse Developer jobs in IN, the most frequently searched job titles are:
Data Warehouse Developer jobs near you
Infographic showing various Data Warehouse Developer job openings in Indiana as of June 2026, with employment types broken down into 1% Internship, 70% Full Time, 10% Part Time, 17% Contract, and 2% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $107,720 per year, or $51.8 per hour.
Data Systems/Solutions Engineer

Data Systems/Solutions Engineer

RR

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Life, Retirement, PTO

Posted 9 hours 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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