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Data Engineer Jobs in Indiana (NOW HIRING)

Steel Warehouse

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/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 ...

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 Warehouse

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/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 ...

STEEL WAREHOUSE CO LLC

Data Engineer

South Bend, IN

$112.20K - $134.80K/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 ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/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 · On-site

$109.40K - $131.40K/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 · On-site

$109.40K - $131.40K/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 ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/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 ...

Liberty Mutual

Data Engineer

Indianapolis, IN · Hybrid

$109.40K - $131.40K/yr

Description Data Governance Platform Engineer Description At Liberty Mutual, technology isn't just a part of our business, it's what drives us forward. We deliver our customers peace of mind every ...

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 translate business needs into scalable data solutions. This role combines hands-on engineering ...

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135.70K/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 ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109.40K - $131.40K/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 ...

EXOS

Sr. Data Engineer

Indianapolis, IN

$109.40K - $131.40K/yr

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building scalable, efficient data solutions. This role is ideal for someone who thrives in a modern data ...

inKind

Data Engineer (AI)

Austin, IN · On-site

$135K - $155K/yr

AI 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 ...

Genesis10

Entry Level Data Engineer

Indianapolis, IN · On-site

$100.40K - $120.60K/yr

The role of Entry Level Data Engineer involves gaining real-world experience while developing technical skills in various technologies, including databases and programming languages. Qualifications

GMV

Data Engineer

New Albany, IN · On-site +1

$105.90K - $127.20K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

CSpring Data Engineers are responsible for engaging in the design, development and maintenance of data platform and solutions. This includes the platform hosting data sets that support various ...

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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 May 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.

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 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.

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 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.

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.

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 May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
Data Engineer

Data Engineer

Steel Warehouse

South Bend, IN • On-site

$112.20K - $134.80K/yr

Full-time

Posted 3 days ago

Job description

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 also play a key part in establishing and enforcing data governance standards to ensure data is accurate, secure, and trusted across the organization.

Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources
  • Build and optimize data models to support analytics and reporting use cases
  • Ensure data quality, integrity, and reliability through monitoring, validation, and testing
  • Implement and support data governance practices, including data lineage, cataloging, and metadata management
  • Enforce data standards, naming conventions, and access controls across datasets
  • Partner with business stakeholders to define data ownership, definitions, and quality expectations
  • Manage and optimize data storage solutions (data warehouses, lakes, lakehouses)
  • Implement performance tuning and cost optimization strategies
  • Maintain documentation for data architecture, pipelines, and governance processes
  • Support deployment and orchestration of data workflows using modern tools
  • Troubleshoot and resolve data issues in a timely manner
Requirements:

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
  • 2–5+ years of experience in data engineering or related roles
  • Strong SQL skills and experience working with relational databases
  • Experience building data pipelines using tools such as Python, Spark, or similar
  • Familiarity with cloud platforms (Azure, AWS, or GCP)
  • Experience with data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, or Fabric)
  • Understanding of data modeling concepts (star schema, normalization, etc.)
  • Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Preferred Qualifications

  • Experience with orchestration tools (Airflow, Azure Data Factory, etc.)
  • Knowledge of real-time/streaming data processing
  • Familiarity with DevOps practices (CI/CD, version control)
  • Experience working in a lakehouse architecture (e.g., Delta Lake, Microsoft Fabric)
  • Experience with data governance tools (e.g., Microsoft Purview, Collibra, Alation)
  • Strong understanding of data security and compliance best practices
  • Strong problem-solving and communication skills

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