Senior Data Engineer - Build Scalable Data Systems & Models

OpTech; Cincinnati (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

OpTech in Cincinnati is seeking a data systems engineer to design and maintain scalable data management platforms, ensuring alignment with company requirements and industry best practices. You will build high-performance algorithms and predictive models, integrate new data technologies, and collaborate with data architects, IT, and data scientists to improve data reliability and quality.

The role requires a technical degree or equivalent experience and hands-on work with SQL/NoSQL databases and

Qualifications

• Technical degree or equivalent work experience.
• Experience with relational and non-relational databases; backend language experience.

Responsibilities

• Design, construct, install, test and maintain data management systems.
• Build high-performance algorithms, predictive models, and prototypes.
• Ensure systems meet business and industry requirements.
• Integrate new data management and software engineering technologies.
• Develop processes for data mining, data modeling, and data production.
• Create custom software components and analytics applications.
• Research new uses for existing data.
• Connect systems using various languages and tools.
• Collaborate with data architects, IT, and data scientists.
• Improve data reliability and quality.

Skills

Data mining

Algorithms

Backend development

Education

Technical Degree or related work experience

Tools

SQL

MySQL

NoSQL

Hadoop

MongoDB

Java

J2EE

Job description

OpTech in Cincinnati is seeking a data systems engineer to design and maintain scalable data management platforms, ensuring alignment with company requirements and industry best practices. You will build high-performance algorithms and predictive models, integrate new data technologies, and collaborate with data architects, IT, and data scientists to improve data reliability and quality.

The role requires a technical degree or equivalent experience and hands-on work with SQL/NoSQL databases and