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Data Engineer Jobs in Indiana (NOW HIRING)

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 ...

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 ...

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 ...

Description The Data Engineer at Structural and Rail division will own and evolve our modern data stack, moving data from diverse sources into trusted, analytics-ready models that power decision ...

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 ...

Description The Data Engineer at Structural and will own and evolve our modern data stack, moving data from diverse sources into trusted, analytics-ready models that power decision making across the ...

Data Engineer

Columbia City, IN · On-site

$80K - $112K/yr

Description The Data Engineer at Structural and Rail division will own and evolve our modern data stack, moving data from diverse sources into trusted, analytics-ready models that power decision ...

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 ...

Description The Data Engineer at Structural and Rail division will own and evolve our modern data stack, moving data from diverse sources into trusted, analytics-ready models that power decision ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... and engineers to improve efficiency and data organization; improve performance through data structure and query optimization Ensure data integrity, quality, and security across all systems and ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... and engineers to improve efficiency and data organization; improve performance through data structure and query optimization Ensure data integrity, quality, and security across all systems and ...

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the development of business analytics. Use machine learning, statistical methods and advanced analytics ...

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

Description UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the development of business analytics. Use machine learning, statistical methods and ...

Data Engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Showing results 21-40

Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data engineer jobs pay per year?

As of Aug 20, 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.

What is a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 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:

Infographic showing various Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

$104K - $125K/yr

Full-time

Re-posted 10 days ago


Steel Dynamics rating

7.9

Company rating: 7.9 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

158th of 542 rated manufacturers


Job description

Steel Dynamics

Location: Position can be executed from any of the following Steel Dynamics offices. This position is an onsite position. 

  • Butler, IN
  • Columbus, MS
  • Terre Haute, IN
  • Pittsburgh, PA
  • Sinton, TX

Steel Dynamics will not provide sponsorship for employment visa status now or in the future for this role. This includes, but is not limited to, F-1 STEM OPT, H-1B, TN, E-3, O-1, or any other work authorization that requires company sponsorship or the submission of immigration-related documentation to a government agency. Individuals who are found to require sponsorship now or in the future will be removed from consideration for employment for this position. 

* This position requires the candidate to work onsite and is not eligible for remote work.

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 facilities. In this role, you will design and manage the data infrastructure — pipelines, databases, and reporting solutions — that drives decision-making across the Flat Roll Group. The right candidate brings strong SQL skills, a disciplined approach to data quality, and the ability to collaborate effectively with both technical teams and business stakeholders.


  • Develop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation
  • Model and manage structured data to support analytics, reporting, and application needs
  • Build and maintain data pipelines and ETL/ELT processes
  • Ensure data quality, consistency, and reliability across data systems
  • Monitor, troubleshoot, and optimize data workflows and query performance
  • Collaborate with software and data architects, engineers, and stakeholders to understand data requirements
  • Document data flow, schemas, and data definitions
  • Follow data governance, security, and compliance standards
  • Independently manage assigned work items and commitments
  • Communicate technical information clearly to both technical and non-technical teams
  • Pursue continuous learning and professional skill development

Required

  • Proven experience in data engineering, analytics engineering, or similar role
  • Strong SQL proficiency, including complex queries, views, stored procedures, and triggers
  • Experience with relational databases and data modeling concepts
  • Ability to analyze data issues, identify root causes, and implement effective solutions
  • Hands-on experience with cloud data platforms, data warehouses, or data lakes
  • Experience building and maintaining data pipelines or ETL/ELT processes
  • Experience supporting analytics, reporting, or BI use cases
  • Experience with data quality monitoring
  • Strong written and verbal communication skills
  • Demonstrated accountability and ownership of data solutions
  • Bachelor’s degree in related field, relevant certifications, or equivalent proven expertise
  • 5-7 years of experience in SQL
  • 5-7 years of experience in data analytics
  • Experience in Qlik and/or Power BI
  • Microsoft SQL Server experience

 

Preferred

  • Background in steel or manufacturing environments

Steel Dynamics, Inc., and all affiliated entities are equal opportunity employers.


What Steel Dynamics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Steel Dynamics

Sourced by ZipRecruiter

Steel Dynamics is one of the largest and most diversified domestic steel producers and metals recyclers in the United States, with an estimated steelmaking and coating capacity of approximately 13 million tons, and facilities located throughout the United States and in Mexico. We operate using a circular manufacturing model, producing lower-carbon-emission, quality steel using electric arc furnace (EAF) technology with recycled ferrous scrap as the primary input. Our circular economy is powered by our three primary operating platforms: steel, metals recycling, and steel fabrication. Our steel operations produce steel products, including hot roll, cold roll, and coated sheet steel, structural steel beams and shapes, rail, engineered special-bar-quality steel, cold finished steel, merchant bar products, and specialty steel sections. Our metals recycling operations collect and process ferrous and nonferrous scrap from manufacturing and end-of-life items, such as automobiles, appliances, and machinery. This processed scrap is then sold to end-users for reuse, including our EAF steel mills, which produce new steel from the scrapped material. We sell a meaningful amount of steel to our own steel fabrication operations that in turn produce and sell structural steel joist and deck building systems to consumers.

Industry

Manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Fort Wayne, IN, US

Year founded

1993