Data Engineer with manufacturing background
Permanent
place
Columbus, Ohio
calendar_today
30 Apr 2025
Akkodis is seeking a Data Engineer with manufacturing background for a Direct hire job with a client in Columbus, OH. You will design and implement scalable data pipelines and architectures, ensuring reliable, high-quality manufacturing data systems; candidates must have hands-on experience in a manufacturing environment and strong SQL and AWS big data skills.
Salary Range: $110K/year to $120K/year; The salary may be negotiable based on experience, education, geographic location, and other factors.
Data Engineer with manufacturing background job responsibilities include:
Design, build, and maintain scalable data pipelines and architectures to support manufacturing analytics and automation.
Collaborate with cross-functional teams (Operations, R D, IT) to gather requirements and deliver data-driven solutions.
Ensure data integrity and quality by extracting, cleaning, and integrating data from multiple manufacturing systems and sensors.
Implement and manage Industry 4.0/IoT applications for predictive maintenance, process optimization, and performance monitoring.
Develop dashboards and visualization tools (e.g., Power BI) to provide actionable insights into manufacturing operations.
Support and optimize cloud-based infrastructure using AWS and big data tools for efficient data storage and access.
Troubleshoot data system issues, automate manual processes, and continuously improve data delivery and infrastructure scalability.
Desired Qualifications:
Bachelor's degree in computer science, Electrical Engineering, Data Analytics, Information Systems, or a related technical field.
5 to 10 years of experience as a Data Engineer or in a similar role, preferably in a manufacturing environment.
Proven expertise in building and optimizing data pipelines and architectures using SQL and AWS big data technologies.
Strong hands-on experience with manufacturing data systems, including SCADA/MES, and familiarity with Industry 4.0/IoT applications.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ...
Equal Opportunity Employer/Veterans/Disabled
Benefits offerings include but are not limited to
Competitive wages
Health
Dental
STD
LTD
ESOP retirement plan and profit sharing
Pay Details: $110.00 to $120.00 per year
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance for Employers
San Francisco Fair Chance Ordinance
Practices
Engineering
Contract Type
Permanent
Reference Number
US_EN_...255
Remote jobs
No
Sub Practices
Manufacturing
Permanent
place
Columbus, Ohio
calendar_today
30 Apr 2025
Akkodis is seeking a Data Engineer with manufacturing background for a Direct hire job with a client in Columbus, OH. You will design and implement scalable data pipelines and architectures, ensuring reliable, high-quality manufacturing data systems; candidates must have hands-on experience in a manufacturing environment and strong SQL and AWS big data skills.
Salary Range: $110K/year to $120K/year; The salary may be negotiable based on experience, education, geographic location, and other factors.
Data Engineer with manufacturing background job responsibilities include:
Design, build, and maintain scalable data pipelines and architectures to support manufacturing analytics and automation.
Collaborate with cross-functional teams (Operations, R D, IT) to gather requirements and deliver data-driven solutions.
Ensure data integrity and quality by extracting, cleaning, and integrating data from multiple manufacturing systems and sensors.
Implement and manage Industry 4.0/IoT applications for predictive maintenance, process optimization, and performance monitoring.
Develop dashboards and visualization tools (e.g., Power BI) to provide actionable insights into manufacturing operations.
Support and optimize cloud-based infrastructure using AWS and big data tools for efficient data storage and access.
Troubleshoot data system issues, automate manual processes, and continuously improve data delivery and infrastructure scalability.
Desired Qualifications:
Bachelor's degree in computer science, Electrical Engineering, Data Analytics, Information Systems, or a related technical field.
5 to 10 years of experience as a Data Engineer or in a similar role, preferably in a manufacturing environment.
Proven expertise in building and optimizing data pipelines and architectures using SQL and AWS big data technologies.
Strong hands-on experience with manufacturing data systems, including SCADA/MES, and familiarity with Industry 4.0/IoT applications.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ...
Equal Opportunity Employer/Veterans/Disabled
Benefits offerings include but are not limited to
Competitive wages
Health
Dental
STD
LTD
ESOP retirement plan and profit sharing
Pay Details: $110.00 to $120.00 per year
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance for Employers
San Francisco Fair Chance Ordinance
Practices
Engineering
Contract Type
Permanent
Reference Number
US_EN_...255
Remote jobs
No
Sub Practices
Manufacturing
Job ID: 475331596
Originally Posted on: 5/1/2025
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