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Data Engineer Jobs in Indiana (NOW HIRING)

Merchants Bank of Indiana

Data Engineer

Carmel, IN

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures ...

Merchants Bancorp

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer plays a key role supporting our organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South Bend, IN is seeking a Data Engineer to play ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South Bend, IN is seeking a Data Engineer to play ...

inKind

Data Engineer

Austin, IN

$135K - $155K/yr

Data Engineer Reports to: Senior Data Engineer Role Summary: Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that ...

Independence Corrugated

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be used for analysis. They are responsible for creating and maintaining the analytics infrastructure ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which develops and maintains shared data systems across our network of flat roll steel manufacturing ...

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance amp; Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

Michelin

Data Engineer

Woodburn, IN

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers! - - - - - - - - - - - - This opportunity is in Woodburn, Indiana in our BF Goodrich tire plant. Woodburn is ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers! - - - - - - - - - - - - This opportunity is in Woodburn, Indiana in our BF Goodrich tire plant. Woodburn is ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which develops and maintains shared data systems across our network of flat roll steel manufacturing ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which develops and maintains shared data systems across our network of flat roll steel manufacturing ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN

$109K - $131K/yr

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 ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data systems and pipelines under the guidance of senior engineers. Assists in the collection, processing ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data systems and pipelines under the guidance of senior engineers. Assists in the collection, processing ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data systems and pipelines under the guidance of senior engineers. Assists in the collection, processing ...

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All JobsData Engineer JobsData Engineer Jobs in Indiana

Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Indiana? The most popular types of Data Engineer jobs in Indiana are:
What are popular job titles related to Data Engineer jobs in Indiana? For Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Indiana look for? The top searched job categories for Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Data Engineer jobs? Cities in Indiana with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in IN? For Data Engineer jobs in IN, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Indiana as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Engineer

Merchants Bank of Indiana

Carmel, IN

$108K - $130K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

Description

Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives. We are seeking a skilled Data Engineer, along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures utilizing Python, Microsoft Fabric, Azure DevOps, Jira and more.


Our Data Engineer will be able to do the following confidently and independently...

  • Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
  • Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to automate code deployments, testing, and release processes.
  • Maintain version control across code, pipeline definitions, SQL models, and integration scripts.
  • Build and maintain integrations (initially Salesforce) for syncing data between source systems and the enterprise data warehouse in Microsoft Fabric.
  • Architect and manage Lakehouse (Bronze/Silver/Gold) structures aligning with enterprise medallion best practices.
  • Develop scalable data models for investment reporting, portfolio analytics, and capital markets insights.
  • Ensure schema alignment, consistency, and auditability across all inbound data flows.
  • Implement ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
  • Maintain metadata, data dictionaries, and technical documentation in alignment with Enterprise data governance.

Requirements


What we are looking for...

  • Bachelor's or Master's degree in computer science, data analytics, or a related field.
  • 3+ years of experience in data engineering or cloud ETL development.
  • Proficient in Python for data engineering, automation, and integration tasks.
  • Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar).
  • Experience with version control (preferably Git-based) from managing code, pipelines, and deployment artifacts.
  • Hands-on experience integrating systems (Bulk API, REST API, or connector-based ingestion).
  • Experience with data quality frameworks and data governance concepts.

Preferred Skills:

  • Experience working with investment, capital markets, or financial services data.
  • Familiarity with Git-based workflows, DevOps pipelines, or Fabric deployment processes.
  • Power BI and semantic model support experience.
  • Experience with cloud-based orchestration or event-driven patterns.

Our Benefits: Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few more 



About Merchants


Ranked as a top performing U.S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding company headquartered in Carmel, Indiana operating multiple segments, including Multi-family Mortgage Banking that offers multi-family housing and healthcare facility financing and servicing; Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and correspondent residential mortgage banking, agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in assets and $11.9 billion in deposits as of December 31, 2024, conducts its business primarily through its direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants Capital Investments, LLC, Merchants Capital Servicing, LLC, Merchants Asset Management, LLC, and Merchants Mortgage, a division of Merchants Bank of Indiana.

Merchants Bank and Merchants Capital have recently been honored with the 2025 USA Today Top Workplaces recognition, ranking 22nd nationally within the 500-999 employee category. This is the second year that Merchants has been recognized with this award. These accolades build on our strong history of workplace recognition, including being named a Best Place to Work in Indiana for seven consecutive years (2016-2022). For more information read the entire article here.

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