Senior Data Engineer

Object Oriented Search; Maryland; On-site; USD 110,000 - 160,000; Full time

Job summary

Object Oriented Search is seeking a Data Engineer who can be fully remote and help scale data infrastructure to support business processes and rapid growth. The role emphasizes building pipelines, standardizing data structures, and documenting metadata to align with enterprise requirements.

You will collaborate with data architects, engineers, and analysts to deliver secure, timely data solutions across MES, ERP, PLM, and quality systems.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or other related science
• Minimum of four years of progressive experience designing and implementing data models, developing data solutions, and integrating enterprise data platforms.
• Experience integrating data from manufacturing and operational systems such as MES, ERP, LIMS, or QMS is highly desirable.

Responsibilities

• Develop data pipelines from various data sources to target locations — including MES, ERP, PLM, and quality systems
• Develop and maintain accurate data structure and mapping documentation, including metadata aligned to specific business requirements
• Standardizing data structure and types across ETL/ELT processes
• Champion the adoption of reusable architecture assets to improve efficiency
• Produce documentation to aid in the understanding of existing architecture solutions
• Collaborate with data architects, application engineers, integration specialists, business analysts, and cross-functional technical teams to deliver secure, timely, and reliable data solutions to authorized users.

Skills

Data pipelines

ETL/ELT

Data modeling

Documentation

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Software Engineering, or other related science

Tools

MES

ERP

PLM

LIMS

QMS

Job description

The ideal Data Engineer candidate can be fully remote, will support hyper growth, responsible for managing and organizing data to support all business processes to achieve corporate and departmental goals.

Responsibilities

• Develop data pipelines from various data sources to target locations — including MES, ERP, PLM, and quality systems
• Develop and maintain accurate data structure and mapping documentation, including metadata aligned to specific business requirements
• standardizing data structure and types across ETL/ELT processes
• Champion the adoption of reusable architecture assets to improve efficiency
• Produce documentation to aid in the understanding of existing architecture solutions
• Maintain a strategic understanding of enterprise objectives, define appropriate project scope, and collaborate with data architects, application engineers, integration specialists, business analysts, and cross-functional technical teams to deliver secure, timely, and reliable data solutions to authorized users.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or other related science or
• Minimum of four years of progressive experience designing and implementing data models, developing data solutions, and integrating enterprise data platforms.
• Experience integrating data from manufacturing and operational systems such as MES, ERP, LIMS, or QMS is highly desirable.