Data Engineer / Python / SQL / AWS / PHP / Go

Motion Recruitment - Silver Spring, MD

Full-time - Senior

Hybrid - Silver Spring, MD

Administrative and Support Services

About the position

The Senior Data Engineer will play a crucial role in building, optimizing, and maintaining the data infrastructure for a leading streaming service focused on premium documentaries. This position emphasizes efficient data ingestion, processing, and storage, with a strong focus on real-time streaming technologies. The ideal candidate will lead the development of data pipelines that provide insights for the global streaming platform, collaborating with various teams to support strategic initiatives.

Responsibilities

• Develop, optimize, and manage scalable ETL pipelines
• Architect and implement solutions for real-time data processing to ensure timely and accurate data delivery
• Design data models that are optimized for relational databases, ensuring efficient query performance and scalability
• Work closely with data analysts, product managers, and software engineers to provide data-driven insights and support strategic initiatives
• Implement best practices for data management, ensuring compliance with data privacy and security standards
• Provide guidance to junior engineers, fostering a collaborative and knowledge-sharing environment

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field
• 5+ years of experience in data engineering
• Hands-on experience with AWS services like Kinesis for real-time data streaming, SageMaker for machine learning, and DynamoDB for scalable storage
• Proficiency in Python for data processing, ETL, and automation tasks
• Strong SQL skills for database management and query optimization
• Experience in designing and optimizing data models for relational and NoSQL databases
• Knowledge of real-time data processing frameworks and streaming technologies

Nice-to-haves

• Experience with PHP/Laravel or Go/Golang for backend service integration
• Familiarity with dbt for data transformation and Looker for data visualization
• Exposure to machine learning/AI concepts and the integration of models into production environments
• Understanding of CI/CD pipelines and DevOps practices related to data engineering

Benefits

• Competitive salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Flexible hybrid work environment
• Opportunities for professional development and career growth