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Data Modernization Jobs in Indiana (NOW HIRING)

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows. * Collaborate with BI and analytics teams to enable reporting and selfservice ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows. * Collaborate with BI and analytics teams to enable reporting and selfservice ...

One Bridge Inc

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows. * Collaborate with BI and analytics teams to enable reporting and ...

Onebridge

Data Practice Lead

Indianapolis, IN · On-site

Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise-scale architecture decisions. * Serve as the architectural authority during delivery ...

Onebridge

Data Practice Lead

Indianapolis, IN · On-site +1

Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise-scale architecture decisions. * Serve as the architectural authority during delivery ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows. * Collaborate with BI and analytics teams to enable reporting and self ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows. * Collaborate with BI and analytics teams to enable reporting and self ...

State of Indiana

Innovation Counsel

Indianapolis, IN · On-site

$93K/yr

Providing legal and analytical support to the strategic data modernization project, ensuring initiatives are legally sound and consistent with judicial branch standards. Your process improvement and ...

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All JobsData Modernization JobsData Modernization Jobs in Indiana

Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

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 strategic planning, along with strong industry reputation and sometimes equity compensation.

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 practices 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 roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
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:
What job categories do people searching Data Modernization jobs in Indiana look for? The top searched job categories for Data Modernization jobs in Indiana are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Snowflake Data Engineer

Snowflake Data Engineer

Onebridge

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 22 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team.

Snowflake Data Engineer | About You

As a Snowflake Data Engineer, you are responsible for transforming complex, raw data into trusted, authoritative sources that power analytics and business decisionmaking. You thrive in fastpaced, agile environments and enjoy designing scalable data solutions that integrate across cloud platforms. You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate effectively with technical and business stakeholders to deliver highquality, reliable data products. You also bring a strong passion for AIassisted development and modern vibe coding, actively leveraging intelligent tools to accelerate development, improve code quality, and explore innovative data engineering patterns.

Snowflake Data Engineer | Day-to-Day

  • Design, build, and maintain scalable, reliable data pipelines using Snowflake, Azure, and modern ETL frameworks.
  • 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 authoritative data sources that enable selfservice analytics and commercialization.
  • Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows.
  • Collaborate with BI and analytics teams to enable reporting and selfservice analytics using platforms such as Power BI or Sigma, ensuring data accuracy and accessibility.
  • Participate in Agile delivery practices using tools such as Jira and ServiceNow, contributing to planning, documentation, and continuous improvement.
  • Actively apply AIpowered coding tools and automation techniques to streamline development workflows, improve efficiency, and experiment with emerging capabilities.

Snowflake Data Engineer | Skills & Experience

  • 5+ years of experience in data engineering, data architecture, or a related technical discipline.
  • Strong handson experience with Snowflake, including data modeling, performance optimization, and largescale transformation workloads.
  • Required expertise in Azure, SQL, and ETL development, supporting cloudbased data platforms and integrations.
  • Experience designing, building, and maintaining enterprisegrade data pipelines and transformation frameworks.
  • Familiarity with Agile methodologies and tools such as Jira and ServiceNow.
  • Experience supporting analytics and reporting platforms such as Power BI or Sigma, with an understanding of selfservice analytics principles.
  • AIassisted development experience is required, including handson use of tools such as Claude Code, GPTbased assistants, Cursor, Kizer, or similar technologies to enhance productivity and innovation.
  • Experience working with healthcare or regulated industry data is a strong plus, including awareness of data quality, governance, and sensitivity considerations.

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