Big Data/Machine Learning Engineer {McLean, VA}

Job Title: Senior Big Data / Machine Learning Engineer Location: McLean, VA (Hybrid) Duration: 14-Month Contract Overview: We are seeking an experienced Senior Big Data / Machine Learning Engineer to join our team in McLean, VA. This hybrid role is ideal for a highly skilled professional with a strong background in data engineering and machine learning, capable of designing and implementing scalable data solutions. You will play a key role in building and optimizing data pipelines, developing machine learning models, and supporting data-driven decision-making across the organization. Key Responsibilities: • Design, build, and maintain scalable big data pipelines and architectures • Develop, deploy, and optimize machine learning models in production environments • Collaborate with cross-functional teams including data scientists, analysts, and software engineers • Process and analyze large, complex datasets to extract actionable insights • Ensure data quality, integrity, and security across systems • Optimize performance and scalability of data processing systems • Stay current with emerging technologies and best practices in big data and ML Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 5+ years of experience in big data engineering and/or machine learning • Strong programming skills in Python, Java, or Scala • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) • Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Experience with cloud platforms such as AWS, Azure, or GCP • Solid understanding of data structures, algorithms, and distributed systems Preferred Qualifications: • Experience with MLOps and model deployment pipelines • Familiarity with containerization tools (Docker, Kubernetes) • Experience working in Agile environments • Strong problem-solving and communication skills