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Data Modernization Jobs in Indiana (NOW HIRING)

$172K - $269K/yr

We are seeking an experienced Software Modernization Enablement Lead Engineer to drive the digital ... Platforms & Data: Familiarity with both Windows and Linux environments and database technologies.

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

Support platform modernization and migration from legacy data environments to modern Azure, Snowflake, Databricks,lakehouse, warehouse, and data product patterns. * Stay technically engaged through ...

Strategic, Hands-On Work - From program coordination and stakeholder engagement to data modernization and clinical readiness, you'll influence every step of the process. * Collaborative Trust - Our ...

Strategic, Hands-On Work - From program coordination and stakeholder engagement to data modernization and clinical readiness, you'll influence every step of the process. * Collaborative Trust - Our ...

AWS Data Engineer - Databricks

Indianapolis, IN ยท On-site

$109K - $131K/yr

Indianapolis, IN Role Overview We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative . This role focuses on building and supporting a modern AWS ...

Data Architect

Indianapolis, IN ยท Remote

$61 - $78.50/hr

Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives. Cummins is an equal opportunity employer. Our policy is to provide equal ...

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Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

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

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Indiana? For Data Modernization jobs in Indiana, the most frequently searched job titles are:
Infographic showing various Data Modernization 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.
Senior Business Analyst - HIE Modernization

Senior Business Analyst - HIE Modernization

CSpring

Indianapolis, IN โ€ข On-site

$88K - $114K/yr

Full-time

Re-posted 15 days ago


Job description

Description:

At CSpring, we believe in the power of people and data to drive real-world impact. Weโ€™re a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work โ€” from data strategy and engineering to workforce transformation โ€” improves lives across Indiana and beyond. Weโ€™re seeking talented professionals who are collaborative, curious, and committed to making a difference.


Why Youโ€™ll Love Working Here

  • Mission-Driven Work โ€“ Support the transformation of rural healthcare across Indiana through a landmark $207M federal investment. Your work will directly strengthen health outcomes for Hoosier communities.
  • People-First Culture โ€“ Weโ€™re as committed to your growth as we are to delivering high-impact solutions. Youโ€™ll find support, autonomy, and community here.
  • Strategic, Hands-On Work โ€“ From program coordination and stakeholder engagement to data modernization and clinical readiness, youโ€™ll influence every step of the process.
  • Collaborative Trust โ€“ Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What Youโ€™ll Do

As the Senior Business Analyst for HIE Modernization, you will serve as the analytical lead supporting Indianaโ€™s interoperability and Health Information Exchange investments. You will gather and document business and technical requirements, analyze current-state data exchange workflows, identify gaps and opportunities, and support the development of future-state specifications. Working closely with the HIE Modernization Project Manager and technical teams, you will translate complex health IT requirements into actionable documentation that guides vendor implementation and system configuration. This role demands strong analytical rigor, stakeholder facilitation skills, and fluency in healthcare data standards.

Requirements:

What You Bring

  • Bachelorโ€™s degree in public health, health informatics, or information systems; masterโ€™s degree preferred
  • 5+ years of directly applicable experience in health IT, healthcare operations, or public health
  • Working knowledge of healthcare data exchange, interoperability concepts, or HIE environments
  • Strong analytical, documentation, and requirements elicitation skills
  • Experience creating business process models, data flow diagrams, or system specifications preferred

At CSpring, we unlock the potential of people and data. If youโ€™re ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment โ€” apply today!