Data Engineer 5 – Playback (Remote Work Opportunity | $140,000–$180,000/Year)

📝 Job Description: Are you a highly skilled Data Engineer looking for a challenging and rewarding remote role? Join our team as a Data Engineer 5 – Playback and play a key role in designing, building, and optimizing data pipelines for a high-performing playback system. This is a remote position, offering flexibility, competitive compensation, and the opportunity to work with cutting-edge technologies in a collaborative and innovative environment. As a Data Engineer 5, you will be responsible for architecting scalable data solutions that support playback systems, ensuring high availability, reliability, and efficiency. You will collaborate with cross-functional teams, including software engineers, data scientists, product managers, and analytics teams, to deliver high-quality solutions that enable actionable insights and improve user experience. This position is ideal for individuals with extensive experience in data engineering, analytics, and playback technologies, who thrive in remote work environments and enjoy solving complex data challenges. 💼 Key Responsibilities: As a Data Engineer 5 – Playback, your responsibilities will include: Data Pipeline Development & Optimization: Design, develop, and maintain scalable, reliable, and high-performance data pipelines for playback systems. Ensure data pipelines efficiently process large volumes of streaming and playback-related data. Optimize ETL processes and workflows for performance, reliability, and scalability. Data Architecture & Modeling: Design and implement data models to support playback analytics, reporting, and machine learning initiatives. Ensure consistency, accuracy, and availability of data across systems. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Playback System Integration: Work closely with software engineering teams to integrate playback data pipelines with real-time and batch systems. Support streaming data ingestion, transformation, and storage for playback analytics. Implement best practices for data integrity, validation, and testing. Data Quality & Governance: Implement processes and monitoring to ensure data quality and integrity. Identify data discrepancies, investigate root causes, and implement solutions. Maintain documentation of data pipelines, processes, and standards. Collaboration & Communication: Work with data scientists, product managers, and analytics teams to understand data needs and deliver actionable insights. Collaborate with software engineers to optimize data storage, retrieval, and playback performance. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Performance Monitoring & Troubleshooting: Monitor data pipelines and systems to ensure optimal performance. Troubleshoot issues quickly and implement solutions proactively. Continuously improve data systems for efficiency, reliability, and scalability. ✅ Requirements: We are looking for highly skilled candidates with a strong foundation in data engineering, playback systems, and cloud technologies. The ideal candidate should meet the following requirements: Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field. Experience: Extensive experience (5+ years) in data engineering, particularly with playback or streaming data systems. Programming Skills: Strong proficiency in Python, Java, or Scala for building data pipelines and processing workflows. Data Tools & Technologies: Hands-on experience with SQL, NoSQL, Spark, Hadoop, Kafka, Airflow, or similar data processing and orchestration tools. Cloud Platforms: Experience with cloud-based data solutions (AWS, GCP, Azure) and managed services for analytics and storage. Data Modeling & Analytics: Knowledge of data modeling, schema design, and analytics pipelines for large-scale systems. Problem-Solving: Excellent analytical and troubleshooting skills with a proactive mindset. Remote Work Skills: Self-motivated, able to work independently, and comfortable collaborating across distributed teams. Communication Skills: Strong written and verbal communication skills to effectively interact with cross-functional teams. Additional Skills: Familiarity with playback systems, media streaming architecture, and content delivery pipelines is highly desirable. 💵 Salary & Benefits: This remote Data Engineer 5 – Playback role offers highly competitive compensation and benefits: Salary: $140,000 – $180,000 per year, depending on experience and performance. Remote Work: Fully remote with flexible working hours. Health Benefits: Comprehensive medical, dental, and vision coverage. Retirement Plan: 401(k) or equivalent retirement savings plan with company match. Professional Development: Paid training, certifications, and opportunities to attend conferences or workshops. Paid Time Off: Vacation days, personal days, and holidays to maintain a healthy work-life balance. Innovation Environment: Work with cutting-edge technologies in playback, streaming, and big data analytics. Career Growth: Opportunities to advance into senior technical roles or leadership positions in data engineering and analytics. 🚀 Why Join Us? Joining our team as a Data Engineer 5 – Playback provides you with the opportunity to: Work remotely with a flexible schedule that allows you to balance personal and professional commitments. Contribute to high-impact projects in media playback and streaming systems. Collaborate with a highly skilled, innovative, and supportive team that values creativity and technical excellence. Gain experience with advanced data technologies and cloud-based analytics solutions. Be part of a fast-growing, forward-thinking organization that values continuous learning and professional growth. Influence product and system improvements by delivering actionable insights from playback data. 💡 Ideal Candidate Profile: The ideal candidate for this remote role is: Passionate about data engineering and playback systems. Skilled at designing scalable and reliable data pipelines. Proactive, self-motivated, and able to thrive in a remote work environment. Comfortable collaborating with cross-functional teams and communicating technical concepts clearly. Detail-oriented and committed to data quality and accuracy. Experienced in cloud platforms and streaming data architecture. 🏡 Work-from-Home Environment: Working remotely allows you to: Eliminate commuting: Save time and work from the comfort of your home office. Flexible schedules: Set your working hours to fit personal and professional commitments. Focused environment: Create a workspace optimized for productivity and concentration. Collaboration tools: Use modern collaboration platforms to stay connected with the team, participate in meetings, and share ideas seamlessly. We provide all the resources, training, and support to ensure remote employees can work effectively and achieve their goals. 📝 Application Process: Submit Your Application: Complete the online application with your resume and relevant contact details. Initial Screening: Applications are reviewed by recruiters to identify qualified candidates. Technical Assessment: Selected candidates will complete a coding and data engineering assessment to evaluate skills. Interview Process: Participate in virtual interviews with hiring managers, senior engineers, and team leads. Offer & Onboarding: Successful candidates receive an offer and begin a structured remote onboarding process. Start Your Remote Role: Begin contributing as a Data Engineer 5 – Playback, working with high-volume data systems and playback analytics pipelines. 🔑 Key Takeaways: Role: Data Engineer 5 – Playback Position Type: Full-time Remote Location: USA (Remote) Salary Range: $140,000 – $180,000 per year Experience: 5+ years in data engineering or related roles Training: Provided for internal systems and playback architecture Flexibility: Fully remote with flexible work hours Benefits: Comprehensive health coverage, retirement plan, paid time off, professional development Growth: Opportunities for career advancement into senior technical and leadership roles 🌟 Why You Should Apply: This remote Data Engineer 5 – Playback role is a rare opportunity for experienced engineers to work on complex, high-impact data pipelines that power playback systems and streaming analytics. You will gain exposure to cutting-edge technologies, collaborate with talented teams, and contribute to solutions that influence millions of users. If you are a self-motivated, detail-oriented, and technically proficient engineer who enjoys solving complex data challenges, this role provides the perfect platform to advance your career while enjoying the benefits of remote work. 🚀 Apply Today Take the next step in your data engineering career and join a forward-thinking, innovative team as a Data Engineer 5 – Playback. Work remotely, earn a competitive salary, and be part of building scalable, high-performance data systems that power streaming playback experiences for millions of users. Apply now and become a key contributor to our data engineering team!