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Data Engineer Jobs in Lafayette, IN (NOW HIRING)

RFA Engineering

Supplier Quality Engineer

Lafayette, IN · On-site

$60K - $80K/yr

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 ...

ZF

Laboratory Test Engineer

Lafayette, IN · On-site

Set up data acquisition instrumentation - for product validation, quality audit, warranty analysis, line-return analysis, and other special requests from Product Engineering. * Use data acquisition ...

RFA Engineering

Supplier Quality Engineer

Lafayette, IN · On-site

$60 - $80/hr

Supplier Quality Engineer A strategic supplier quality engineer will greatly help manage and ... Help root cause analysis and provide fact & data-based information to concerned parties for problem ...

Tipmont

Distribution Engineer

Linden, IN · On-site

Distribution Engineer (Entry-Level or Experienced) Location: Linden, Indiana (18 miles from ... Our systems include SCADA (supervisory control & data acquisition), MDMS (meter data management ...

New

ZF Group

Laboratory Test Engineer

Lafayette, IN · On-site

Set up data acquisition instrumentation - for product validation, quality audit, warranty analysis, line-return analysis, and other special requests from Product Engineering. * Use data acquisition ...

Intalus, Inc.

Application Engineer

West Lafayette, IN · On-site

$70 - $90/hr

Support demonstrations, pilot builds, and data reporting for clients * Interface with internal engineering, operations, and leadership teams to align execution Qualifications * B.S. or M.S. in ...

Stellantis

Electrical Engineer

Kokomo, IN · On-site

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 ...

Stellantis

Electrical Engineer

Kokomo, IN · On-site

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 ...

Stellantis

Electrical Engineer

Kokomo, IN · On-site

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 ...

Rea-Magnet-Wire

Quality Engineer

Lafayette, IN · On-site

$85 - $95/hr

Quality Engineer Lafayette, IN, US 1 Attachments 8 days ago Requisition ID: 1332 Salary Range: $85 ... Perform Measurement Systems Analysis (Gage R&R) to validate the reliability of measurement data ...

Rea Magnet Wire Company

Quality Engineer

Lafayette, IN · On-site

$85 - $95/hr

Quality Engineer Lafayette, IN, US 1 Attachments Salary Range: $85,000.00 To $95,000.00 Annually ... Perform Measurement Systems Analysis (Gage R&R) to validate the reliability of measurement data ...

Stellantis

Electrical Engineer

Kokomo, IN · On-site

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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Lafayette, IN

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 Sep 6, 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 pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Lafayette, IN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $124,805 per year, or $60 per hour.

Reliability Engineer

Kaleidoscope Innovation, Inc.

Lafayette, IN • On-site

$110 - $150/hr

Other

Posted 4 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Reliability Engineer

Professional Lafayette, IN, US

30+ days ago Requisition ID: 1248

* Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*

Position Overview: Lead reliability improvements for CNC machining centers to enhance equipment availability, OEE, and process capability. Utilize structured reliability methods (TPM, RCCA, PFMEA, predictive maintenance) to eliminate chronic losses and stabilize throughput. Collaborate with Manufacturing Engineering, Maintenance, and Production to embed a reliability-focused culture and standard work.

  • Job title: Reliability Engineer
  • Work Location with Zip code: Lafayette, IN 47905
  • Work from Home: No
  • Years of experience required: 10 - 20 Years
Typical task breakdown:
  • Perform data analysis & support maintenance team to improve machine availability.
  • Lead data‑driven reliability initiatives for critical assets, with a primary focus on increasing machine uptime and MTBF.
  • Analyze Llumin downtime data to identify recurring issues and find reliability gaps.
  • Initiate RCCA efforts for chronic failures, ensuring PCAs are put in place to address true root causes.
  • Evaluate preventive maintenance activities against actual downtime drivers. Identify gaps and ineffective PMs.
    • Propose data-driven PM improvements, frequency/interval changes, and new PM tasks.
  • Coordinate with Maintenance, Operations, and OEMs/Integrators on inspections, diagnostics, and corrective actions on critical assets.
  • Track machine health indicators such as MTBF, MTTR, availability, and PM compliance.
  • Put together clear one-pagers, detailing failures and what must change to stop them.
  • Develop repeatable reliability analysis processes that can be duplicated across multiple machines and value streams.
Position’s Contributions to Work Group
  • Black Belt certification (optional) with a focus on machining centers maintenance operations, reliability data analytics (Statistical Data Analysis / Llumin maintenance data / Power BI) and Total Productive Maintenance (TPM) activities.
  • Experience in manufacturing operations, RCCA on maintenance repairs.
Key Responsibilities:
  • Ensure compliance with safety and reliability standards.
  • Improve machine availability & OEE through loss analysis & corrective actions.
  • Analyze maintenance data to identify trends, diagnose issues, and develop actionable recommendations for improvement.
  • Manage critical spares and obsolescence strategy.
  • Lead root cause investigations and implement permanent fixes.
Additional Responsibilities:
  • Deploy TPM and operator care on constraint machining centers.
  • Influence reliability in new equipment design and commissioning.
  • Implement predictive maintenance (vibration, lubrication, thermal monitoring) initiative.
  • Coach operators and technicians on defect tagging and basic care.
Interaction with team
  • Daily
Work environment

Office / Shop floor

Education & Experience Required:
  • Bachelor's degree in engineering (Mechanical, Electrical, Manufacturing, Industrial) and/or
  • Minimum 10 years of experience
Technical Skills

(Required)

  • CNC machining Centers & misc. assets maintenance operation experience
  • Project Management, New Capital Introduction (NCI)
  • Hands-on CNC experience, including machine setup
  • Operation / Programming / Coaching
Soft Skills

(Required)

  • Clear and fluent English with both oral and written communications
  • Growth mindset, aggressive and outgoing to learn processes at Caterpillar
  • Ability to work independently and with a team
  • Work with a sense of urgency but must be balanced with priorities given to Safety & Ergonomics as well as Quality.

Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

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