Amazon Web Services (AWS), Apache Spark, Cloud Applications, Cloud Computing, Computer Programming, Computer Security, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Experience, Data Modeling, Data Processing, Data Science, Debugging Skills, DevOps, Jenkins, Machine Learning, Performance Tuning/Optimization, Python Programming/Scripting Language, Scalable System Development, Security Compliance, Software Engineering, Systems Reliability, Systems Scalability
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