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Data Engineering Jobs in Lafayette, IN (NOW HIRING)

Haynes International

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

A bachelor's degree in computer science, data science, software engineering, or related field (R) Experience : At least five years of experience in data analytics, data engineering, software ...

eTeam

IoT Full Stack Engineer

Lafayette, IN · On-site

Bachelor's or Master of Engineering • Hands on experience connecting or working with manufacturing equipment data, telemetry, or IIoT sources. • Strong ability to transform raw machine process ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... engineering methodsDevelop and implement strategies and programs to improve productivity ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN

Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods * Develop and implement strategies and programs to improve ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods * Develop and implement strategies and programs to improve ...

Haynes International

Data Analytics Manager

Kokomo, IN · On-site

Education : BS/BA in Engineering, Data Analytics, Business Systems, or Statistics (R); MBA (P) Experience : 5-10 years in IT, Data, Planning, Manufacturing (P) Areas of Knowledge: Supervision (R ...

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All JobsData Engineering JobsData Engineering Jobs in Lafayette, IN

Data Engineering information

See Lafayette, IN salary details

$44.3K

$158.8K

$234.3K

How much do data engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineering in Lafayette, IN is $158,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,600.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Lafayette, IN? The most popular types of Data Engineering jobs in Lafayette, IN are:
What cities near Lafayette, IN are hiring for Data Engineering jobs? Cities near Lafayette, IN with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Lafayette, IN as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $158,770 per year, or $76.3 per hour.

Data Analytics Engineer

Haynes International

Kokomo, IN • On-site

$101K - $121K/yr

Full-time

Posted 14 days ago

Haynes International rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

About the Opportunity:
The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and reusable datasets to allow business stakeholders to view and understand data in a warehouse or database.
Qualifications (Required & Preferred):
Education: A bachelor's degree in computer science, data science, software engineering, or related field (R)
Experience: At least five years of experience in data analytics, data engineering, software engineering, or a similar role (R); Expertise in data modeling, ETL development, and data analysis (R)
Skills: Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Targit, Ignite, and Power BI; Familiarity with cloud-based data platforms such as Azure for data storage and processing; Substantial programming ability using languages/tools such as C++ & .NET for data manipulation and scripting; Solid understanding of relevant data governance, data quality, and data security best practices; Strong problem-solving skills, and the ability to think critically and analytically; Knowledge of ETL processes, data integration, and data warehousing concepts.; Familiarity with data visualization tools such as Targit & Power BI; Knowledge of upgrading data systems like Targit; Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders (all R).
Role Responsibilities:
  • Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
  • Builds data aggregation pipelines using SQL, .NET, Targit, Power BI
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models
  • Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
  • Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
  • Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
  • Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making
  • Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization
  • Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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