What are the responsibilities and job description for the Big Data/Machine Learning Engineer {McLean, VA} position at Matlen Silver?
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:
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
- 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
- Experience with MLOps and model deployment pipelines
- Familiarity with containerization tools (Docker, Kubernetes)
- Experience working in Agile environments
- Strong problem-solving and communication skills