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Live In Data Modeling Jobs in Indiana (NOW HIRING)

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Strong hands-on experience with Snowflake, including data modeling, performance optimization, and large-scale transformation workloads. * Required expertise in Azure, SQL, and ETL development ...

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL. * Experience with data modeling and dimensional modeling to support analytics and reporting. * Demonstrated use of AI tools to ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL. * Experience with data modeling and dimensional modeling to support analytics and reporting. * Demonstrated use of AI tools to ...

Senior Data Platform Engineer

Carmel, IN · On-site

$66.75 - $89.25/hr

... models. * Demonstrated expertise in data integration patterns involving ERP systems, APIs, and ... where we live and work. Whatever your background, experience, race, color, national origin ...

IN · On-site

$61 - $78.25/hr

The ideal candidate is a proactive problem-solver with deep experience in life sciences, data modeling, and cloud-based product development. Responsibilities: * Engage directly with scientific ...

Data Engineer

Carmel, IN · On-site

$113K - $136K/yr

They will work cross-functionally to develop and deploy optimized data models and modern data architecture in support of strategic data and business initiatives. Job Duties and Responsibilities

$109K - $131K/yr

Net technologies such as C#, VB.Net and experience in designing, developing and deploying Windows & Web applications * 2+ years of experience in data modeling/database development using PL/SQL and ...

Data Architect

Zionsville, IN

$61.75 - $79.50/hr

Hybrid work model based in Wayne, PA or Portsmouth, NH * Partner closely with Enterprise Architecture, Data & Analytics, Business Technology, and business leadership teams * Influence enterprise-wide ...

... data modeling * You apply strong problem solving skills, attention to detail and a clear ... in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless. Linde ...

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Hybrid work model based in Wayne, PA or Portsmouth, NH * Partner closely with Enterprise Architecture, Data & Analytics, Business Technology, and business leadership teams * Influence enterprise-wide ...

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please ... We encourage all candidates who live in a HUBZone to apply. You can check to see if you address is ...

Power BI Intern

Gary, IN · On-site

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please ... We encourage all candidates who live in a HUBZone to apply. You can check to see if you address is ...

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please ... We encourage all candidates who live in a HUBZone to apply. You can check to see if you address is ...

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please ... We encourage all candidates who live in a HUBZone to apply. You can check to see if you address is ...

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Live In Data Modeling information

What is the difference between Live In Data Modeling vs Data Analyst?

AspectLive In Data ModelingData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; certifications like CDMPBachelor's in Statistics, Data Science, or related; certifications like CAP or Microsoft Data Analyst
Work EnvironmentCollaborative, often on-site, working closely with data teams and stakeholdersOffice or remote, analyzing data sets, creating reports, and visualizations
Industry UsageUsed in industries requiring detailed data modeling for live systems, such as finance or techCommon across various industries for interpreting data and supporting decision-making
Search & Comparison IntentPeople comparing roles involving live data modeling tasks with data analysis

Live In Data Modeling focuses on designing and maintaining data structures for live systems, requiring technical modeling skills. Data Analysts interpret data through reports and visualizations. While related, Live In Data Modeling emphasizes data architecture, whereas Data Analysts focus on data interpretation and insights.

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 cities in Indiana are hiring for Live In Data Modeling jobs? Cities in Indiana with the most Live In Data Modeling job openings:
Snowflake Data Engineer

Snowflake Data Engineer

Onebridge

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 27 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 decision-making. You thrive in fast-paced, 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 high-quality, reliable data products. You also bring a strong passion for AI-assisted 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 SQL-based 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 self-service 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 self-service 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 AI-powered 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 hands-on experience with Snowflake, including data modeling, performance optimization, and large-scale transformation workloads.
  • Required expertise in Azure, SQL, and ETL development, supporting cloud-based data platforms and integrations.
  • Experience designing, building, and maintaining enterprise-grade 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 self-service analytics principles.
  • AI-assisted development experience is required, including hands-on use of tools such as Claude Code, GPT-based 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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