Overview
On Site
160k} - 180k}
Full Time
Skills
Science
Innovation
Spring Framework
Management
Relational databases
Scalability
Data management
Regulatory Compliance
Privacy
Knowledge sharing
Computer science
Information Technology
Amazon Web Services
Amazon Kinesis
Amazon SageMaker
Amazon DynamoDB
Storage
Python
Extract
transform
load
SQL
Database administration
Query optimization
NoSQL
Database
Real-time
Data processing
Streaming
PHP
Laravel
Golang
Data Visualization
Machine Learning (ML)
Artificial intelligence
Continuous integration
Continuous delivery
DevOps
Data engineering
Insurance
Professional development
Job Details
Job Description
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
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**
#LI-LT2
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.