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Data Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN ยท 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

Fort Wayne, IN ยท 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

Terre Haute, IN ยท On-site

$108K - $130K/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 ...

Data Engineer

Fort Wayne, IN ยท On-site

$105K - $126K/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 ...

Data Engineer

Hammond, IN

$109K - $130K/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 ...

Data Engineer

Evansville, IN

$109K - $131K/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 ...

Data Engineer

South Bend, IN ยท On-site

$112K - $135K/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 ...

Data Engineer

Indianapolis, IN ยท 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 ...

Data Engineer

Gary, IN

$113K - $136K/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 ...

Sr. Data Engineer

Indianapolis, IN

$109K - $131K/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 ...

Fabric Data Engineer

Fort Wayne, IN ยท On-site

$104K - $125K/yr

The Fabric Data Engineer is an integral member of Lasting Change's data platform team, contributing hands-on to the development, optimization, and governance of Petra, the organization's enterprise ...

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Description The Fabric Data Engineer is an integral member of Lasting Change's data platform team, contributing hands-on to the development, optimization, and governance of Petra, the organization ...

Data Engineer II

Fort Wayne, IN

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Business Intelligence Location: Corporate Office (Fort Wayne, IN) JOB SUMMARY Responsible for designing ...

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 ...

Data Engineer II

Fort Wayne, IN ยท On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Business Intelligence Location: Corporate Office (Fort Wayne, IN) JOB SUMMARY Responsible for designing ...

Data Engineer

New Albany, IN ยท On-site +1

$105K - $127K/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 ...

Sr. Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/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 ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing 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

Dmainc

Indianapolis, IN โ€ข Hybrid

$109K - $131K/yr

Full-time

Posted 14 days ago


Job description

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof:

  • 2025 Great Places to Work Certified
  • Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation)
  • Company paid parental leave
  • Generous time off package
  • Multiple benefit plans, eligibility begins on day one of employment
  • Culturally focused on work/life balance, mental health, and the overall wellness of our employees

This is a hybrid position with an expectation to be in our Fort Wayne, IN office a minimum of two days per week. This position does not qualify for relocation assistance. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. This position does not qualify for employment-based sponsorship.

Position Summary

The Data Analyst will be primarily responsible for creating and maintaining DMA's infrastructure and systems that enable the collection, storage, and processing of data. This role is essential for ensuring data is accessible, reliable, and optimized for analysis and decision-making.

Essential Duties and Responsibilities

Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources.

Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine

Use statistical tools to interpret data sets, pay particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts

Collaborate with programmers 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 platforms

Work with departments to provide insight and identify opportunities, improvements, recommend system modifications, and develop policies for data governance

Integrate structured and unstructured data from internal and external sources.

Monitor and troubleshoot data workflows, resolving issues proactively

Design, implement, and maintain critical data systems from ETL/ELT, Data Warehouse, BI Tools, and everything in between

Maintain documentation for data architecture, processes, and standards

Collaborate with data scientists, analysts, and product teams to support data needs.

Analyze requirements from the business and provide solutions or guidance for solutions

Work with senior data analyst to establish data governance

Non-Essential Duties and Responsibilities

Perform other duties as assigned

Education and Qualifications

Bachelor's degree in computer science, information systems, engineering, or related field.

2 to 5 years' experience as a data engineering role

Familiarity with professional programming preferred

Familiarity with relevant business domains

Ability to analyze large datasets and write comprehensive reports

Experience in data models and reporting packages

Experience working with data and data analytics development, preferably within the Microsoft data platform

Ability to understand business needs and translate them into technical solutions

Works effectively with analysts, stakeholders, and IT teams to deliver data solutions that drive business value

Proficiency in SQL and experience with relational and non-relational databases

Proficient with ELT/ETL and Data Warehousing development

Knowledge of relational databases and object-relational mapping concepts

Commitment to data quality, governance, and compliance

Understanding of data modeling, normalization, and schema design

Excellent organizational skills: ability to handle multiple projects

An analytical mind and inclination for problem-solving

Strong verbal and written communication skills

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The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment.
It is DMA's policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at HRDepartment@dmainc.com or 800-309-2110 and choosing selection 6.