Data Engineer
17 hours ago
Our client is a leading streaming service dedicated to delivering premium documentaries on science, technology, history, and nature. Their goal is to inspire, inform, and entertain a global audience with thought-provoking, high-quality content. They are a fast-paced, innovation-driven company with a passion for pushing boundaries in streaming technology.
They are looking for an exceptional Senior Data Engineer to join their team in Silver Spring, MD. In this role, you will build, optimize, and maintain data infrastructure, focusing on efficient data ingestion, processing, and storage. The ideal candidate is experienced with real-time streaming technologies. This is an opportunity for a skilled data engineer to lead the development of data pipelines that drive insights for our global streaming platform.
Key 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.
- 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.
- 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.
- 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.
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**
#LI-LT2
Posted by: Lindsay Troyer
Specialization: Data Engineering
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