Data Engineer with AI Kubernetes

Data Engineer with AI Kubernetes – Join Our Team .job-posting-container {font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 0; padding: 20px; background-color: #ffffff; box-sizing: border-box;} .job-posting-container * {box-sizing: border-box;} .job-posting-container .job-posting-content {background-color: #ffffff; padding: 30px; max-width: 800px; margin: 0 auto; box-shadow: 0 0 10px rgba(0,0,0,0.1); border-radius: 10px;} .job-posting-container h1, .job-posting-container h2 {color: #004080; margin: 15px 0;} .job-posting-container h1 {font-size: 22px;} .job-posting-container h2 {font-size: 20px; border-bottom: 1px solid #ccc; padding-bottom: 5px; margin-top: 30px;} .job-posting-container ul {margin-left: 20px;} .job-posting-container .section {margin-bottom: 25px;} .job-posting-container .highlight {background-color: #eef6ff; padding: 15px; border-left: 4px solid #004080; margin-bottom: 15px; border-radius: 5px;} .job-posting-container strong {color: #333;} .job-posting-container li {margin-bottom: 8px;} Data Engineer with AI Kubernetes — JB-EBB50CPE Location: Columbus, Ohio — Onsite (5 days/week) | Employment: CTC, W2 | Tax Term: C2C | Estimated minimum pay rate: $55/hr About This Opportunity Join this organization as a Data Engineer focused on building scalable data pipelines and AI-ready infrastructure. The role emphasizes hands-on work with big data technologies, cloud services, and containerized deployments in a collaborative engineering environment. Why Join Us? Work on large-scale data pipelines and AI infrastructure with modern tooling. Opportunities for professional growth and exposure to cloud-native technologies. Collaborative team culture with emphasis on quality and operational excellence. Structured onboarding and knowledge-sharing to accelerate impact. Key Responsibilities Design, build and maintain robust ETL/data pipelines using Python and Apache Spark (PySpark). Implement and optimize data processing jobs on AWS services such as S3, EMR, Glue and Redshift. Develop and enforce data modeling and warehousing practices to support analytics and ML. Containerize and deploy data services using Docker and Kubernetes as part of CI/CD workflows. Collaborate with cross-functional teams to define requirements, troubleshoot issues and improve data quality. Qualifications Strong proficiency in Python and experience with Apache Spark / PySpark for large-scale data processing. Practical experience with AWS (S3, Glue, EMR, Redshift, Athena, Lambda) and SQL databases. Solid understanding of data modeling, data warehousing, ETL patterns and version control with Git. Familiarity with Airflow (or similar), Kafka/Kinesis, Docker and Kubernetes is preferred. Excellent communication and problem-solving skills with experience working on distributed data systems. Note: This is a contract-to-hire role and requires visa-independent candidates (GC/USC/H4-EAD/L2 EAD eligible). Ready to Apply? Please send your resume and any relevant project links or GitHub examples to the recruiter listed below. Include the job code JB-EBB50CPE in your message to help us process your application quickly. Contact: kevin@dprsolutionsinc.com Phone: (571) 498-9280 Take the next step in your career!