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Data Engineer Jobs in Columbus, IN (NOW HIRING)

Integrity Trade Services

Quality Engineer

Franklin, IN

$71K - $95K/yr

Quality Engineer Pay : $71k-$95k/annually (DOE) Shift : First shift, Monday-Friday (Overtime as ... Proficiency in Microsoft Office Suite, especially Excel (pivot tables and data analysis) * Ability ...

Toray

Electrical Engineer

Shelbyville, IN · On-site

$90K - $120K/yr

ELECTRICAL ENGINEER Reports to: VP Engineering, Maintenance and Environmental Job Summary: The ... data. Knowledge of and/or Training on the following: * Knowledge of or willingness to learn ...

Integrity Trade Services

Quality Engineer

Franklin, IN · On-site

$95K/yr

Quality Engineer Pay : $71k-$95k/annually (DOE) Shift : First shift, Monday-Friday (Overtime as ... Proficiency in Microsoft Office Suite, especially Excel (pivot tables and data analysis) * Ability ...

Optime Tech

Manufacturing Engineer

Columbus, IN · On-site

$68K - $87K/yr

Manufacturing Engineer Location: Columbus, IN (Onsite) Duration: 1+ Year (Potential for Extension ... data-driven decision-making to enhance quality and reduce cost. * Integrate product design and ...

PS Logistics

Quality Engineer

Columbus, IN · On-site

$67K - $86K/yr

Data Analysis & Performance Reporting - Analyze operational, inventory, and quality data including ... Bachelor's degree in Engineering, Supply Chain Management, Quality, Operations Management, or ...

CYNET SYSTEMS

Manufacturing Engineer V

Columbus, IN · On-site

$60 - $70/hr

Understanding of GD&T and ability to interpret engineering drawings. * Bachelor's degree in ... Structured problem solving and data-driven decision-making. Founded in 2010 and headquartered in ...

Vernet

Manufacturing Engineer

Columbus, IN

$68K - $87K/yr

Manufacturing Engineer Position Title : Manufacturing Engineer Reports To : Technical Director ... Analyze production data to improve process capability, cycle time, yield, and uptime * Develop and ...

KYYBA

Be Seen First

Manufacturing Engineer

Columbus, IN · On-site

$60 - $70/hr

Manufacturing Engineer V Location: Columbus, IN 47201 Duration: 12 months Schedule will be 6 months ... data-driven decision-making to enhance quality and reduce cost. * Drawing Interpretation ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Columbus, IN

Data Engineer information

See Columbus, IN salary details

$41.4K

$120.8K

$165.3K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Columbus, IN is $120,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,000.00 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.

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 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.

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.

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.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Columbus, IN? The most popular types of Data Engineer jobs in Columbus, IN are:
What job categories do people searching Data Engineer jobs in Columbus, IN look for? The top searched job categories for Data Engineer jobs in Columbus, IN are:
What cities near Columbus, IN are hiring for Data Engineer jobs? Cities near Columbus, IN with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Columbus, IN as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $120,644 per year, or $58 per hour.

Firmware/Software Integration Engineer

TiltEdge Solutions LLC

Columbus, IN • On-site

$95K - $105K/yr

Full-time

Re-posted 28 days ago

Job description

Position: Firmware/Software Integration Engineer
Work Location: Columbus, IN
Duration: Fulltime/Direct Hire
 
Job Description:
Position Summary
We are seeking a Firmware/Software Integration Engineer to support the development, maintenance, validation, and release of software updates for Generator and Alternator systems. The ideal candidate will have experience working with embedded systems, CAN communication, and software integration activities, while collaborating closely with engineering subject matter experts (SMEs) to implement and validate new features.
 
Key Responsibilities
Review, modify, test, and release software and firmware updates for Motor/generator/Alternator and MGU systems.
Support software integration, debugging, and validation activities across Motor/generator/Alternator and MGU systems.
Analyze system and vehicle data to identify and resolve software, communication, and integration issues.
Investigate and troubleshoot CAN communication concerns.
Verify compliance with applicable Cummins Engine Network(CEN) specifications and system requirements.
Monitor and validate core system functionality and performance.
Improve software robustness and reduce susceptibility to false fault detection.
Collaborate with SMEs to discuss, implement, and adapt new and existing software features.
Document findings, software changes, validation results, and release information.
Provide onsite engineering support primarily at CTC, with flexibility to support additional locations such as CMIC, AEI, and others as required. 
 
Required Competencies
Proven ability to review, modify, validate, and release embedded software/firmware updates.
Understanding of the basic functionality and interactions of Alternator/Generator/Aftertreatment systems
Experience with CAN communication analysis, diagnostics, and troubleshooting.
Ability to analyze system data and identify software, communication, or integration issues.
Familiarity with requirements compliance and validation processes, including CEN specifications.
Strong problem-solving and debugging skills.
Ability to work independently while collaborating effectively with cross-functional engineering teams.
Strong technical communication and documentation skills.
 
Preferred Qualifications
Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Mechatronics, or a related field.
Experience with embedded software development and validation.
Knowledge of automotive, industrial, or off-highway vehicle control systems.
Experience using CAN analysis and diagnostic tools (e.g., CANalyzer, CANoe, Vehicle Spy, or equivalent).
Familiarity with firmware release and configuration management processes.
 
Additional Notes
Deep machine-specific expertise is not required.
Candidate should be comfortable working in a hands-on engineering environment and supporting multiple locations as required.