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Data Integration Engineer Jobs in Indiana (NOW HIRING)

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and ... Snowflake Data Engineer | Skills & Experience * 5+ years of experience in data engineering, data ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and ... Snowflake Data Engineer | Skills & Experience * 5+ years of experience in data engineering, data ...

One Bridge Inc

Snowflake Data Engineer

Indianapolis, IN

$109.40K - $131.40K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and ... Snowflake Data Engineer | Skills & Experience ** * 5+ years of experience in data engineering, data ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and ... Snowflake Data Engineer | Skills & Experience * 5+ years of experience in data engineering, data ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Support and enhance data integration processes, including modernization of legacy ingestion and ... Snowflake Data Engineer | Skills & Experience * 5+ years of experience in data engineering, data ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Beacon Health System

Data Engineer

Granger, IN · On-site

$102.70K - $123.30K/yr

The Data Engineer will use the business intelligence tools to build custom queries, integrate new data and data sources, and ensure accurate data. The Data Engineer is expected to work independently ...

Pwc

Data Engineer - Manager

Indianapolis, IN

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Lasting Change, Inc.

Lead Data Engineer

Fort Wayne, IN

$104.70K - $125.80K/yr

The Lead Data Engineer partners closely with analysts, leadership, and other stakeholders to ... Integrate data from multiple internal and external systems using Azure-native services. Analytics ...

Lasting Change, Inc

Lead Data Engineer

Fort Wayne, IN · On-site

$113K - $135.70K/yr

The Lead Data Engineer partners closely with analysts, leadership, and other stakeholders to ... Integrate data from multiple internal and external systems using Azure-native services. Analytics ...

Deloitte

Databricks Data Engineer

Indianapolis, IN

$109.40K - $131.40K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Apply data architecture, integration, and data modeling practices to improve data quality ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Integrate platform into the existing enterprise data warehouse and various operational systems ... Proficiency in at least one programming language, such as Python or R * Experience with a BI ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN

$104.70K - $125.80K/yr

Data Engineer II Job Category: Information Technology Requisition Number: DATAE002101 Posted: June ... Three (3) or more years of experience working with database technologies and data integration ...

New

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135.70K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Three (3) or more years of experience working with database technologies and data integration ...

New

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135.70K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Three (3) or more years of experience working with database technologies and data integration ...

New

Lasting Change Inc

Lead Data Engineer

Fort Wayne, IN

$101.10K - $133.20K/yr

The Lead Data Engineer partners closely with analysts, leadership, and other stakeholders to ... Integrate data from multiple internal and external systems using Azure-native services. Analytics ...

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Data Integration Engineer information

See Indiana salary details

$9

$49

$80

How much do data integration engineer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data integration engineer in Indiana is $49.18, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $55.34 per hour, depending on experience, location, and employer.

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

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What are some common challenges Data Integration Engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

What are Data Integration Engineers?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

What is the difference between Data Integration Engineer vs Data Engineer?

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What are popular job titles related to Data Integration Engineer jobs in Indiana? For Data Integration Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Integration Engineer jobs in Indiana look for? The top searched job categories for Data Integration Engineer jobs in Indiana are:
Data Integration Engineer jobs near you
Infographic showing various Data Integration Engineer job openings in Indiana as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $102,294 per year, or $49.2 per hour.
Snowflake Data Engineer

Snowflake Data Engineer

Onebridge

Indianapolis, IN • On-site

$109.40K - $131.40K/yr

Full-time

Posted 7 hours 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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