What are the responsibilities and job description for the Remote Data Engineer (AWS + Python) position at Motion Recruitment?
Are you passionate about building scalable, cloud-based data systems?
A leading digital media & streaming company is looking for a Remote Data Engineer to help power their next generation of content analytics and personalization. In this full-time role, you’ll design and build serverless data pipelines using tools like Python, AWS Lambda, Glue, Spark/EMR, and REST APIs to support real-time insights across the platform.
This is a high-impact opportunity for someone who loves solving big data challenges, thrives in a hands-on role, and wants their work to directly influence how millions of users experience streaming content.
Required Skills & Experience
Tech Breakdown
Posted By: Sabina Hunsicker
A leading digital media & streaming company is looking for a Remote Data Engineer to help power their next generation of content analytics and personalization. In this full-time role, you’ll design and build serverless data pipelines using tools like Python, AWS Lambda, Glue, Spark/EMR, and REST APIs to support real-time insights across the platform.
This is a high-impact opportunity for someone who loves solving big data challenges, thrives in a hands-on role, and wants their work to directly influence how millions of users experience streaming content.
Required Skills & Experience
- 5 years of experience in a Data Engineering role
- Python and modern ETL practices
- AWS (Lambda & Glue are a MUST!)
- Familiarity with data lakes, warehouses, and serverless integration
- Strong database knowledge (RDS, NoSQL, XML/JSON)
- Ability to design and optimize scalable pipelines in distributed systems
- Experience with real-time streaming pipelines (Kafka, Kinesis, or similar)
- Familiarity with CI/CD workflows and DevOps best practices
- Knowledge of MLOps principles
- Excellent communication skills and ability to collaborate across teams
Tech Breakdown
- 40% Building and maintaining ETL & serverless data pipelines
- 30% Distributed data processing with Spark/EMR
- 30% Cloud architecture, integration, and API development
- 60% Hands-on development and engineering
- 20% Collaborating with cross-functional teams on data needs
- 20% Designing and optimizing data workflows and infrastructure
- Salary range: $150,000–$160,000 (based on experience)
- Medical, Dental, and Vision Insurance
- 401(k) with company match (7%)
- Annual performance bonus (8–12%)
- Paid Time Off & Remote Flexibility
- Career development, training, and mentorship opportunities
Posted By: Sabina Hunsicker
Salary : $150,000 - $160,000