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Data Engineer Jobs in Indiana (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Data Engineer

South Bend, IN · On-site

$112K - $134K/yr

Description We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will ...

Data Engineer

South Bend, IN · On-site

$112K - $134K/yr

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will also play a ...

Data Engineer

South Bend, IN · On-site

$112K - $134K/yr

Job Type Full-time Description We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision ...

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 ...

New

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

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Showing results 1-20

Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data engineer jobs pay per year?

As of Jun 19, 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 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 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 June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
Data Engineer

Data Engineer

Indianapolis Colts

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 28 days ago


Job description

The Indianapolis Colts are seeking an experienced Data Engineer to play a key role supporting the organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales, marketing initiatives, fan engagement, and analytics efforts. 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 closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ideal candidate is someone who thrives in a collaborative environment, is detail-oriented, and is passionate about building data solutions that drive business value.
This is a full-time position working from our main offices at the Indiana Farm Bureau Football Center. The successful candidate will embody the Colts core values in support of the team's mission to entertain, inspire and unite by winning the right way.
HIRING MANAGER
Vice President of Information Technology
RESPONSIBILITIES
• Data warehouse design, maintenance, performance tuning, and optimization.
• Design and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources.
• Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure).
• Collaborate with CRM, Marketing, and Analytics teams to understand data needs and deliver reliable solutions.
• Develop modeled data sets for commercial business in collaboration the Analytics & Digital Innovation team.
• Monitor data flows and troubleshoot issues related to data ingestion, transformation, and delivery.
• Maintain data quality through validation, deduplication, and classification processes.
• Contribute to documentation of data processes, schemas, and workflows.
• Implement consumer privacy and consent processes through collaboration with the Privacy Coordinator to ensure compliance concerning PII, data lineage, and data governance.
• Implement cybersecurity best practices through collaboration with the Cybersecurity Engineer to ensure compliance with security controls and policies.
• Stay current with emerging technologies in data warehousing, pipelines, and reporting.
• Perform other duties as assigned.
QUALIFICATIONS
• Bachelor's degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and experience may be considered.
• 2 - 4 years of data engineering experience.
• Proficiency in Snowflake SQL/T-SQL and Python.
• Familiarity with Microsoft Azure and cloud-based data platforms.
• Understanding of APIs, version control (GitHub), and CI/CD workflows.
• Experience with reporting platforms, including modeling data in support of reporting and analysis.
• Preferred experience with Matillion, Melissa, Power BI, Salesforce, Ticketmaster, and Fanatics.
• Experience in the Sports and Entertainment industry is a strong plus.
• Strong problem-solving skills and attention to detail.
• Effective team collaboration, communication, and interpersonal skills.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.