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AI-Enabled Data Engineer

Job in Raymond, Union County, Ohio, 43067, USA
Listing for: Prosum
Full Time position
Listed on 2026-06-20
Job specializations:
  • Software Development
    Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Raymond

Data Engineer AI & Data Solutions

We are seeking a Data Engineer to join a software development team focused on building and delivering scalable AI-enabled applications. This role involves developing production-ready solutions that integrate modern AI technologies into enterprise systems. The ideal candidate can contribute quickly in a collaborative environment and work closely with technical and business stakeholders to deliver reliable, high-quality solutions.

This is a full-time onsite opportunity located near Columbus, Ohio.

Responsibilities
  • Design and maintain data models, database structures, and storage solutions
  • Develop and support ETL/ELT pipelines for ingesting and transforming data
  • Monitor and improve database and pipeline performance
  • Ensure data quality, consistency, and integrity across systems
  • Assist with SQL development and troubleshooting
  • Contribute to data warehouse and data lake initiatives
  • Collaborate with engineering and cross-functional teams to meet project goals
  • Follow established development standards, documentation practices, and operational procedures
  • Complete assignments independently with accuracy and professionalism
Qualifications
  • Bachelor s degree in Computer Science, Software Engineering, Computer Engineering, or related experience
  • Around 1 3 years of experience in software or data engineering
  • Strong Python programming skills with experience writing maintainable production code
  • Experience integrating AI services, APIs, or machine learning tools into applications
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with data warehousing and analytics platforms such as Databricks or Redshift
  • Knowledge of cloud storage solutions including S3 or Azure Storage
  • Experience with ETL/orchestration tools like Airflow, Glue, ADF, or Ni Fi
  • Ability to work within established coding standards and system architectures
  • Strong communication and collaboration skills
Preferred Skills
  • Exposure to AWS services such as Lambda, EC2, S3, or Bedrock
  • Familiarity with Docker, CI/CD pipelines, MLOps, or enterprise-scale data environments
  • Understanding of responsible AI or governance practices is a plus
Work Environment
  • Full-time schedule (40 hours/week)
  • Onsite work environment, Monday through Friday
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