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Data Engineer Jobs in Indiana (NOW HIRING)

Luna Data Solutions, Inc.

Data Engineer - ONSITE

Butler, IN · On-site

$117K - $140K/yr

A newly formed data engineering team is expanding, and we're looking for a highly capable Data Engineer to help build the shared data environment supporting multiple manufacturing facilities. This ...

Merchants Bank of Indiana

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 ...

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

Working within our data engineering team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates ...

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 ...

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 ...

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 ...

Michelin North America

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 ...

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 ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$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 ...

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 ...

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 ...

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 ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$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 decision ...

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 ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$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 decision ...

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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Showing results 1-20

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 9, 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
Data Engineer - ONSITE

Data Engineer - ONSITE

Luna Data Solutions, Inc.

Butler, IN • On-site

$117K - $140K/yr

Other

Posted 15 days ago

Job description

A newly formed data engineering team is expanding, and we’re looking for a highly capable Data Engineer to help build the shared data environment supporting multiple manufacturing facilities. This role focuses on designing structured data models, developing SQL-driven data warehouses, and creating reliable pipelines that feed analytics and operational applications across several sites.
You’ll work closely with a data architect and other technical partners to consolidate data from multiple divisions into a unified environment. This is a hands-on engineering role ideal for someone who thrives in complex data ecosystems, values accuracy, and enjoys building foundational systems from the ground up.
Key Responsibilities

  • Develop advanced SQL solutions including complex queries, stored procedures, views, and triggers.
  • Design and maintain structured data models and warehouse environments used across multiple facilities.
  • Build, refine, and troubleshoot ETL/ELT pipelines supporting large-scale data ingestion.
  • Ensure data accuracy, consistency, and reliability across interconnected systems.
  • Monitor and optimize data workflows and query performance.
  • Collaborate with architects, engineers, and operational teams to translate requirements into scalable data solutions.
  • Document data flows, schemas, and definitions for long-term maintainability.
  • Follow data governance, security, and compliance standards.
  • Manage assigned work independently and deliver on commitments.
  • Communicate technical concepts clearly to both technical and non-technical audiences.
  • Participate in ongoing learning to stay current with evolving data technologies.


Required Qualifications

  • 5–7 years of professional SQL experience (this is a SQL-heavy environment).
  • 5–7 years of experience in data analytics or a related discipline.
  • Hands-on experience with Qlik and/or Power BI (Qlik is used more heavily across the group).
  • Proven background in data engineering, analytics engineering, or similar roles.
  • Strong SQL proficiency, including advanced queries, stored procedures, and triggers.
  • Experience with relational databases and data modeling concepts.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience supporting BI, reporting, or analytics environments.
  • Familiarity with data quality monitoring practices.
  • Experience with cloud data platforms, data warehouses, or data lakes.
  • Strong written and verbal communication skills.
  • Demonstrated ownership of data solutions and deliverables.
  • Bachelor’s degree in a relevant field, equivalent experience, or industry certifications.
  • Proficiency with Microsoft SQL Server.
  • Experience in manufacturing or industrial environments.


What We Offer

  • Small team where you can make a big impact.
  • Competitive compensation and benefits.


This is a direct-hire, full-time employment opportunity onsite in Butler, Indiana. Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status. A 7-year background check and drug test are required for this role.

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