Data Engineer / Python / SQL / AWS / PHP / Go at Motion Recruitment
Silver Spring, MD 20901
About the Job
Silver Spring, MDHybridFull Time$160k - $180kJob 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 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
Required Skills/QualificationsBachelor’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.
Preferred Skills/Qualifications 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.
The OfferCompetitive 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 TroyerSpecialization: Data Engineering
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
Required Skills/QualificationsBachelor’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.
Preferred Skills/Qualifications 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.
The OfferCompetitive 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 TroyerSpecialization: Data Engineering
