Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop scalable data pipelines and backend services using Python for analytics workflows.

• Architect software systems employing object-oriented programming and robust engineering practices.

• Build and maintain platforms that facilitate analytics development, model training, and model deployment.

• Establish and manage CI/CD pipelines alongside infrastructure-as-code solutions for automated deployments.

• Oversee cloud and on-premises analytics environments, focusing on AWS infrastructure and security measures.

• Monitor, diagnose, and enhance data pipelines, platform efficiency, and system dependability.

• Assist in machine learning and fraud modeling processes, including feature engineering and model deployment.

• Adopt and integrate new technologies, such as AI-driven solutions, to boost platform efficiency and stability.

⛳️ Requirements

• At least 3 years of experience in data science, analytics, data engineering, or a related area.

• Bachelor's or advanced degree in Statistics, Applied Mathematics, Econometrics, or a similar quantitative discipline; equivalent experience will be considered.

• Proficiency in developing applications and data pipelines using Python, including tools like PySpark, Polars, NumPy, and Pandas.

• Understanding of Java and principles of object-oriented programming.

• Experience in building, deploying, and maintaining production systems and data platforms.

• Familiarity with AWS services such as EC2, EMR, and Airflow, including best practices in cloud security.

• Knowledge of machine learning workflows and environments for analytics model development.

• Experience with CI/CD methodologies, Infrastructure as Code, containerization technologies, and UNIX/Linux systems.

🏝️ Benefits

• Competitive compensation package along with a bonus plan.

• Comprehensive core benefits including medical, dental, vision, and a matching 401K.

• Flexible work environment, offering options to work remotely, in a hybrid setup, or in-office.

• Flexible time off policy that includes volunteer time off, vacation, sick leave, and 12 paid holidays.