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Data Engineer Jobs in Elkhart, IN (NOW HIRING)

St. Joseph County, IN

Data Analyst

South Bend, IN · On-site

The incumbent's reporting is intended to provide insights that may be used to evaluate and support programming, to provide data support for grant applications and related reporting, and to enable ...

CIBC

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

CIBC US

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

Stryker

Data Science Intern - Remote

South Bend, IN · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Winnebago-Industries,-Inc

Test Engineer

Middlebury, IN · On-site

$90 - $120/hr

Support product development through data-driven validation and technical recommendations. * Operate ... Partner with Engineering, Manufacturing, Quality, Supplier Quality, and Product Development teams ...

TERRACON

Staff Engineer

Niles, MI

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

TERRACON

Field Engineer

Niles, MI · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Elkhart, IN

Data Engineer information

See Elkhart, IN salary details

$42.6K

$124.1K

$169.8K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Elkhart, IN is $124,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $131,600.00 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 Elkhart, IN?

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

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

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

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Elkhart, IN as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $124,112 per year, or $59.7 per hour.

IT Sr. Analyst, AI Engineer (Elkhart, Indiana, US, 46516)

Patrick Industries

Elkhart, IN • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Patrick Industries rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

461st of 545 rated manufacturers

Job description

Select how often (in days) to receive an alert:

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits!

The IT Sr. Analyst, AI Engineer is responsible for designing, developing, deploying, and supporting enterprise AI solutions, agentic applications, and intelligent integrations across Patrick Industries. As a senior member of the Agile AI Factory, this role owns technical solution design, implementation approaches, engineering quality, and operational performance for assigned initiatives. The position partners closely with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver scalable AI-enabled solutions that drive automation, improve decision-making, and create measurable business value.

Responsibilities & Duties AI Solution Design & Development
  • Design, develop, test, and deploy AI-enabled applications, agents, and intelligent automation solutions
  • Own technical solution design for assigned initiatives, translating business requirements into scalable production-ready applications
  • Develop agentic workflows, prompt engineering strategies, retrieval-augmented generation solutions, and AI orchestration capabilities
  • Create reusable frameworks, services, and components that accelerate enterprise AI delivery
  • Develop technical documentation, design specifications, and engineering standards
  • Participate in code reviews, design reviews, and architecture discussions to ensure solution quality
System Architecture & Engineering
  • Design system components, service boundaries, data flows, integration patterns, and operational workflows for assigned solutions
  • Evaluate architectural alternatives and make recommendations based on scalability, performance, reliability, and maintainability requirements
  • Assess technical trade-offs related to cost, latency, compute utilization, and solution complexity
  • Design solutions that support enterprise growth, operational efficiency, and long-term sustainability
  • Collaborate with Platform Engineers and Architects to ensure alignment with enterprise standards
  • Identify and proactively address technical risks, dependencies, and architectural concerns
AI Platform Integration & Automation
  • Build integrations between AI platforms and enterprise applications, including ERP, operational systems, and business applications
  • Develop APIs, services, and automation frameworks that enable intelligent workflows across the organization
  • Support implementation of AI capabilities within manufacturing, supply chain, finance, HR, and corporate business processes
  • Ensure integrations are reliable, secure, scalable, and aligned with enterprise architecture standards
  • Troubleshoot integration challenges and optimize system performance
  • Collaborate with technical teams to support end-to-end solution delivery
  • Build data pipelines and supporting infrastructure required for AI applications and intelligent automation
  • Partner with Data Engineering teams to ensure data quality, availability, governance, and readiness
  • Design and implement data structures that support AI model performance and business requirements
  • Support ingestion, transformation, and preparation of enterprise data for AI use cases
  • Optimize solutions for performance, scalability, and maintainability
  • Contribute to enterprise AI and data platform standards and best practices
Solution Quality, Monitoring & Production Support
  • Develop and maintain testing frameworks, evaluation harnesses, and validation processes for AI solutions
  • Establish monitoring and observability standards for production AI systems
  • Track application performance, latency, error rates, model behavior, and output quality
  • Support deployment, stabilization, issue resolution, and ongoing production operations
  • Implement regression testing and validation processes when models, prompts, or retrieval layers change
  • Drive continuous improvement of solution reliability, performance, and supportability
DevOps & Agile Delivery
  • Apply DevOps best practices including CI/CD pipelines, source control, automated testing, and release management
  • Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
  • Collaborate with cross-functional teams to deliver prioritized work efficiently and predictably
  • Provide effort estimates, identify delivery risks, and communicate project status effectively
  • Support release planning, deployment readiness, and production rollout activities
  • Continuously improve engineering practices, development tools, and delivery processes
Technical Leadership & Innovation
  • Provide technical guidance and mentorship to engineers and project teams
  • Promote engineering best practices and high-quality software development standards
  • Research emerging AI technologies, frameworks, and development approaches
  • Evaluate new tools and platforms that may enhance enterprise AI capabilities
  • Recommend improvements that increase platform scalability, developer productivity, and business value
  • Support advancement of Patrick Industries' AI maturity and digital transformation initiatives
Qualifications and Skills
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered
  • 4+ years of software engineering, AI engineering, data engineering, or related experience
  • Experience designing, developing, and deploying enterprise software applications and integrations
  • Hands-on experience building and implementing AI, machine learning, generative AI, or agentic solutions
  • Experience with prompt engineering, retrieval-augmented generation, LLM orchestration, and AI development frameworks
  • Demonstrated system design and software architecture experience
  • Experience developing APIs, integrations, and distributed application components
  • Strong understanding of DevOps practices including CI/CD, source control, automated testing, and release management
  • Familiarity with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments
  • Knowledge of monitoring, observability, and production support practices for enterprise applications
  • Experience with MLOps, model deployment, monitoring, and lifecycle management preferred
  • Experience supporting manufacturing, operations, supply chain, or industrial business environments preferred
  • Experience integrating enterprise applications, industrial systems, sensors, or operational technologies preferred
  • Experience in decentralized, multi-site, or acquisition-driven organizations preferred
  • Exposure to C#, Rust, or KQL is a plus
  • Strong analytical, communication, collaboration, and problem-solving skills
Benefits Include

Health, Dental, Vision, Life, Insurances, Paid Vacation, 401K Match, Holidays, Health Club and Tuition Reimbursement

At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family.

Business Unit: Patrick Industries Inc Corp

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