Data Engineer

Job Title: Data EngineerLocation: McLean/Richmond, VA-3 days HybridDuration: 12 MonthsJob DescriptionDesign, build, and optimize scalable data pipelines using Pyspark and Python. Develop and maintain data processing solutions on AWS. Build and manage ML infrastructure using Kubernetes and Kubeflow. Implement MLOps best practices for model training, deployment, monitoring, and automation. Develop and optimize Databricks-based data engineering solutions. Write efficient SQL queries for data extraction, transformation, and analysis. Work closely with data scientists to operationalize machine learning models. Automate CI/CD pipelines for machine learning and data engineering workflows. Monitor data quality, pipeline performance, and system reliability. Troubleshoot production issues and implement performance improvements. Collaborate with cross-functional teams to deliver scalable data solutions. Required QualificationsBachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience in Data Engineering and MLOps. Strong programming skills in Python. Hands-on experience with AWS cloud services. Experience building distributed data processing applications using Spark/Pyspark. Strong knowledge of Kubernetes and containerized deployments. Experience implementing ML pipelines using Kubeflow. Hands-on experience with Databricks. Strong SQL skills for data analysis and engineering. Good understanding of software engineering best practices, version control, and CI/CD. Nice-to-Have SkillsExperience with model monitoring and governance. Knowledge of feature engineering and feature stores. Familiarity with Infrastructure as Code (IaC). Experience with workflow orchestration platforms. Understanding of data security and governance. Exposure to large-scale distributed systems. EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.