Data Engineer Jobs in Indiana
Data Engineer jobs in Indiana are concentrated in Indianapolis, Fort Wayne, and Bloomington, where employers like Eli Lilly, Salesforce, and Indiana University anchor steady demand for pipeline development, cloud data architecture, and analytics engineering. Openings range from junior engineers supporting BI teams to senior architects designing enterprise data platforms for healthcare and life sciences clients. The Indianapolis tech corridor has made Indiana one of the more active Midwest markets for this role. See the openings below and apply to the ones that match your experience.
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Showing 5 of 40+ Data Engineer jobs
Position Summary
The Lead Azure Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stake holders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL (Extract, Transform, Load) processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency.What will your job entail?
- Provide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives.
- Mentor less experienced data engineers and team members, fostering a collaborative and innovative work environment.
- Explore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure.
- Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence.
- Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes.
- Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
- Implement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency.
- Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.
- Set up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms.
- Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance.
- Enhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services.
- Drive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps.
- Lead SQL Server database optimization and performance tuning efforts.
- Lead, Coach and Mentor junior staff on projects.
Work Experience and Education:
- Bachelor’s degree required, Master’s degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered.
- 12+ years of experience in Data Engineering with a Bachelor’s degree, or 8 years of experience with a Master’s degree is preferred.
- Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.
- Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview.
- Proven experience in Tableau and BI Reporting, and strong skills in Automation and Process
Licenses & Certifications:
- Advanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus.
Skills:
Technical/Functional Skills:
- Big Data Analytics
- Leadership
- Data Governance
- Data Modeling
- Data Processing
- Data Warehousing
- Database Management
- Knowledge of ETL processes
- Machine Learning
- Predictive Analysis
- Programming Languages
Behavioral Skills:
- Critical Thinker
- Communication
- Relationship Building
- Effective Communication
- Time Management
- Problem Solving
- Attention to Detail
*****Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time*****
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
How We Support Our Teammates
Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.
The target salary range for this position is $140,000.00 - $175,000.00 annually.The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.
We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com
The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Position Summary
The Lead Azure Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stake holders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL (Extract, Transform, Load) processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency.What will your job entail?
- Provide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives.
- Mentor less experienced data engineers and team members, fostering a collaborative and innovative work environment.
- Explore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure.
- Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence.
- Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes.
- Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
- Implement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency.
- Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.
- Set up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms.
- Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance.
- Enhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services.
- Drive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps.
- Lead SQL Server database optimization and performance tuning efforts.
- Lead, Coach and Mentor junior staff on projects.
Work Experience and Education:
- Bachelor’s degree required, Master’s degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered.
- 12+ years of experience in Data Engineering with a Bachelor’s degree, or 8 years of experience with a Master’s degree is preferred.
- Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.
- Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview.
- Proven experience in Tableau and BI Reporting, and strong skills in Automation and Process
Licenses & Certifications:
- Advanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus.
Skills:
Technical/Functional Skills:
- Big Data Analytics
- Leadership
- Data Governance
- Data Modeling
- Data Processing
- Data Warehousing
- Database Management
- Knowledge of ETL processes
- Machine Learning
- Predictive Analysis
- Programming Languages
Behavioral Skills:
- Critical Thinker
- Communication
- Relationship Building
- Effective Communication
- Time Management
- Problem Solving
- Attention to Detail
*****Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time*****
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
How We Support Our Teammates
Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.
The target salary range for this position is $140,000.00 - $175,000.00 annually.The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.
We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com
The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
See All 40 Data Engineer Jobs in Indiana
Find roles in Indiana that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in Indiana
Where Indiana roles are concentrated, by current openings.
Data Engineer Job Market in Indiana
A snapshot from current Indiana openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Staffing & Recruiting
- Distribution & Wholesale
What Indiana Employers Look For
The qualifications that appear most often in data engineer jobs across Indiana.
- Bachelor's degree in computer science, information systems, or a related quantitative field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Experience building and maintaining data pipelines using tools like Apache Spark or Airflow
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Knowledge of data warehousing concepts and tools including Snowflake, Redshift, or BigQuery
- Strong collaboration skills for working with data analysts, scientists, and business stakeholders
Data Engineer Jobs in Indiana: Frequently Asked Questions
How do you become a data engineer in Indiana?
Data engineering in Indiana requires no state-issued license or registration. Most employers hire candidates with a bachelor's degree in computer science, information systems, or a related field, combined with demonstrated experience in data pipeline tools and cloud platforms. Indiana universities including Purdue, Indiana University, and IUPUI offer relevant programs. Building a portfolio of pipeline and warehousing projects strengthens applications considerably for Indiana-based roles.
Which companies hire data engineers in Indiana?
Employers hiring data engineers in Indiana right now include RadCube, Google, and Xenon7, based on current listings on Migrate Mate as of November 2026. Indiana's life sciences and healthcare sector, anchored in Indianapolis, generates consistent demand from large systems and pharmaceutical firms alongside growing fintech and insurance employers.
Which Indiana cities have the most data engineer jobs?
Indianapolis, Carmel, and Mishawaka lead Indiana for data engineer openings. Indianapolis dominates because of its dense concentration of healthcare, pharmaceutical, and insurance headquarters, while Fort Wayne and Bloomington draw demand from regional manufacturing operations and Indiana University's research and administrative data infrastructure.
Are there remote data engineer jobs in Indiana?
Yes, and more than most fields. Data engineering is a desk-based, software-driven role that transfers well to remote or hybrid arrangements. About 50% of data engineer openings tied to Indiana are remote or hybrid as of November 2026, reflecting how broadly employers accept distributed teams for this discipline. Pipeline development and cloud architecture work are the sub-areas most commonly offered remotely.
How can I get hired as a data engineer in Indiana with little or no experience?
The most realistic entry path is through an analyst or database administrator role at an Indiana employer and then transitioning internally once you've built pipeline skills. Large Indiana employers in healthcare and insurance regularly hire data analysts and BI developers as entry points. Completing a cloud certification on AWS or Azure, contributing to open-source data projects, and targeting associate data engineer postings at IUPUI-affiliated research units or Indianapolis-based insurers gives candidates without direct experience a credible foundation.
Where can I find and apply to data engineer jobs in Indiana?
You can find and apply to data engineer jobs in Indiana on Migrate Mate, which lists current Indiana openings across industries and experience levels. Search the roles that fit your background and apply directly to the ones that match.
See All 40 Data Engineer Jobs in Indiana
Find roles in Indiana that match your experience and apply in just a few clicks.
Find Data Engineer Jobs