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Data Engineer Jobs in Lafayette, IN (NOW HIRING)

This role owns master data and routing within materials systems, leads model-change readiness ... Verify engineering change data and manage buildout and multi-use parts to ensure system and shop ...

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Help root cause analysis and provide fact & data-based information to concerned parties for problem ...

Ability to translate technical data and analysis into an executive summary format for presentation ... Master's degree in Engineering or equivalent * 10 years of manufacturing experience, powertrain ...

Ability to translate technical data and analysis into an executive summary format for presentation ... Master's degree in Engineering or equivalent * 10 years of manufacturing experience, powertrain ...

Engineering Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're ... Analyze test and operational data to identify opportunities for design improvements and enhanced ...

Production Engineer

Lafayette, IN · On-site

$57K - $76K/yr

Obtains, organizes and interprets engineering data. Supports operational goals in the areas of safety, compliance, quality, production, cost and capital projects. Monitors day-to day production ...

Obtains, organizes and interprets engineering data. Supports operational goals in the areas of safety, compliance, quality, production, cost and capital projects. Monitors day-to day production ...

The General Engineering Lab Test Engineer is responsible for compliance testing, verification, and ... Analyze test data to ensure consistency with compliance standards. Design, develop, document ...

Showing results 21-40

Data Engineer information

See Lafayette, IN salary details

$42.8K

$124.8K

$170.8K

How much do data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer in Lafayette, IN is $124,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $132,300.00 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 pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Lafayette, IN?

The most popular types of Data Engineer jobs in Lafayette, IN are:

What are popular job titles related to Data Engineer jobs in Lafayette, IN?

For Data Engineer jobs in Lafayette, IN, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Lafayette, IN look for?

The top searched job categories for Data Engineer jobs in Lafayette, IN are:

What cities near Lafayette, IN are hiring for Data Engineer jobs?

Cities near Lafayette, IN with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Lafayette, IN as of August 2026, with employment types broken down into 57% Full Time, 29% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $124,805 per year, or $60 per hour.

Materials Process Engineer

Subaru

Lafayette, IN

Full-time

Posted 5 days ago


Subaru rating

6.7

Company rating: 6.7 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

35th of 44 rated automakers


Job description

Process Engineer

Materials Management Department 

Position Summary:

The Materials & Logistics Process Engineer drives accuracy, flow, and stability across materials planning, warehouse operations, lineside delivery, and scanning systems. This role owns master data and routing within materials systems, leads model-change readiness, integrates scanning and digital tools, and partners with production to implement safe, efficient processes that support safety, quality, cost, and delivery targets.

Outline of Duties:

  • Maintain and update materials master data, including routes, triggers, SNPs, user roles, and system configurations within core logistics systems.
  • Set up, adjust, and sustain delivery routes based on consumption, takt-time, rebalances, and model changes; maintain accurate route maps.
  • Verify engineering change data and manage buildout and multi-use parts to ensure system and shop-floor accuracy at SOP.
  • Create and maintain model-change datasets and confirm system readiness, coordinating with production control and affected shops.
  • Determine startup logistics parameters (routes, box sizes, SNPs, swap lists) and support change communication through labels, signage, and training aids.
  • Design, improve, and sustain warehouse layouts and lineside material presentation while enforcing labeling and signage standards.
  • Conduct regular lineside audits to validate scanning, data accuracy, and system alignment, driving timely issue resolution.
  • Implement, maintain, and troubleshoot scanning processes, barcode/QR labels, and delivery system automation across all material flows.
  • Develop training materials and one-point lessons; train associates and end users on delivery, scanning, and system processes.
  • Lead and support process improvement activities, line balance efforts, time study analysis, and process trials to improve safety, quality, delivery, and cost.
  • Create performance reports, dashboards, and databases to communicate materials and logistics KPIs to leadership.
  • Track and document issues, accidents, moves, and system changes, ensuring proper logging and follow-up preventive actions.
  • Performs other related duties as assigned.

Minimum Qualifications:

  • Associate's degree and 1-3 years of relevant experience or equivalent
    • Engineering Technology or Industrial Engineering, Manufacturing Engineering, or related field

Desired Qualifications:

  • Bachelor's degree plus 10+ years relevant experience
    • Engineering Technology or Industrial Engineering, Manufacturing Engineering, or related field

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.


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