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Data Engineer

Artech

Job Title: Data Engineer
Location: McLean, VA (Onsite/Hybrid - Local candidates preferred)
Duration: 9 Months Contract

We are seeking a highly skilled MLOps Engineer / Python Developer with strong experience in building and maintaining scalable data and machine learning pipelines. The ideal candidate will have hands-on expertise in Python, AWS, Kubernetes, and ML workflow tools (Kubeflow) along with solid experience in data processing frameworks like Spark and Pandas.

Required Skills & Qualifications
  • Strong programming experience in Python
  • Hands-on experience with AWS (or similar cloud platforms)
  • Expertise in Kubernetes and Kubeflow (or similar orchestration/workflow tools)
  • Experience with Spark, Pandas, NumPy for data processing
  • Must have previous client experience working for this customer in the past 5 years
Preferred Skills & Qualifications
  • Solid understanding of MLOps, ML lifecycle, and feature engineering
  • Familiarity with CI/CD tools (Jenkins or similar)
  • Experience in debugging, performance tuning, and vulnerability remediation
Day-to-Day Responsibilities
  • Develop, maintain, and optimize data and model-serving pipelines using Kubeflow and Spark
  • Implement feature engineering workflows for machine learning models
  • Deploy, test, and monitor ML applications in cloud environments
  • Collaborate with Data Scientists and cross-functional teams to productionize models
  • Identify and fix bugs, vulnerabilities, and performance issues
  • Handle feature requests and enhancements for existing systems
  • Support and manage CI/CD pipelines and DevOps processes
  • Ensure system scalability, reliability, and security compliance
Company Benefits & Culture
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Opportunities for professional development and growth
Vacancy posted 2 days ago
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