```html
About talentedge
talentedge is a global leader in streaming entertainment and cutting‑edge technology, delivering billions of hours of content to audiences worldwide. With a relentless focus on innovation, data‑driven decision making, and a culture that celebrates curiosity, talentedge empowers its engineers to build the next generation of data platforms that power personalized experiences at massive scale. As a remote‑first organization, talentedge embraces flexibility, diversity, and continuous learning, offering a collaborative environment where every voice matters.
Position Overview
We are seeking a Senior Data Engineer – Platform to design, build, and maintain robust, scalable data pipelines and sophisticated data models that enable our partners and internal teams to extract actionable insights from vast, complex datasets. This role is fully remote, with a competitive hourly rate of $23/hour, and is open to candidates located in or authorized to work in the United States (preferred location: Los Gatos, CA). The ideal candidate brings at least two years of hands‑on experience in distributed data processing, a graduate‑level education, and a passion for turning raw data into reliable, high‑performance services.
Key Responsibilities
- Engineer resilient, high‑throughput data pipelines using technologies such as Kafka, Hive, Flink, and Spark to ingest, transform, and store both structured and unstructured data.
- Develop and maintain ETL jobs that aggregate, cleanse, and enrich data for downstream analytics, machine‑learning models, and product features.
- Design logical and physical data models that accurately represent entities, relationships, and usage patterns across talentedge’s cloud ecosystem.
- Collaborate closely with product, research, and data‑science teams to translate ambiguous business requirements into scalable data solutions.
- Implement best practices for data quality, monitoring, and alerting to ensure pipelines meet stringent SLAs.
- Optimize existing datasets and pipelines for performance, cost‑efficiency, and extensibility, supporting an expanding set of use cases.
- Mentor junior engineers, conduct code reviews, and champion a culture of engineering excellence and knowledge sharing.
- Stay current with emerging data technologies, cloud services (AWS S3, EC2, RDS, Redshift, etc.), and industry trends to continuously improve talentedge’s data platform.
Essential Qualifications
- Experience: Minimum 2 years of professional experience building distributed data pipelines and data models.
- Education: Graduate degree (Bachelors or higher) in Computer Science, Engineering, Mathematics, or a related field.
- Programming: Proficiency in at least one of Java, Python, or Scala, with a strong foundation in software engineering principles.
- SQL Expertise: Advanced ability to write complex queries, optimize performance, and troubleshoot data anomalies.
- Big‑Data Technologies: Hands‑on experience with Hive, Flink, Spark, Kafka, or comparable platforms on large‑scale datasets.
- Cloud Familiarity: Practical knowledge of AWS services such as S3, EC2, RDS, and Redshift.
- Analytical Mindset: Ability to take vague requirements and transform them into concrete, efficient data solutions.
- Communication: Strong written and verbal communication skills in English, with the ability to articulate technical concepts to non‑technical stakeholders.
Preferred Qualifications
- Experience with data‑lake architectures and modern data‑warehouse solutions.
- Knowledge of containerization (Docker) and orchestration (Kubernetes) for data workloads.
- Familiarity with machine‑learning pipelines and feature‑store concepts.
- Previous work in a remote‑first or distributed team environment.
- Contributions to open‑source projects or technical communities.
Core Skills & Competencies
- Problem Solving: Creative approach to complex data challenges, with a focus on reliability and scalability.
- Autonomy: Self‑starter who can prioritize tasks, manage time effectively, and deliver high‑quality results with minimal supervision.
- Collaboration: Ability to work cross‑functionally, building strong relationships with product managers, data scientists, and engineers.
- Continuous Learning: Eagerness to explore new tools, frameworks, and best practices, keeping talentedge at the forefront of data innovation.
- Attention to Detail: Commitment to data integrity, documentation, and reproducibility.
Career Growth & Learning Opportunities
At talentedge, your career trajectory is shaped by your ambition and the impact you create. As a Senior Data Engineer, you will have access to:
- Mentorship from industry veterans who have built world‑class data platforms.
- Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) and conference attendance.
- Opportunities to lead high‑visibility projects that directly influence product strategy and user experience.
- A clear path to senior leadership roles such as Lead Data Engineer, Data Platform Manager, or Director of Data Engineering.
Work Environment & Culture
talentedge’s remote‑first philosophy means you can work from anywhere in the United States while staying connected to a vibrant, inclusive community. Our culture is built on:
- Trust & Flexibility: Choose the hours that align with your peak productivity, whether you’re a morning bird or a night owl.
- Innovation: Regular hackathons, “innovation days,” and a sandbox environment to experiment with new ideas.
- Diversity & Inclusion: A commitment to hiring talent from varied backgrounds, fostering a workplace where every perspective is valued.
- Well‑Being: Access to mental‑health resources, virtual wellness programs, and a supportive network of peers.
Compensation, Perks & Benefits
While the base compensation is $23 per hour, talentedge offers a comprehensive benefits package designed to support your professional and personal life, including:
- Competitive health, dental, and vision insurance plans.
- Retirement savings options with company matching.
- Generous paid time off and flexible holidays.
- Home office stipend for ergonomic furniture, high‑speed internet, and equipment.
- Learning & development budget for courses, certifications, and books.
- Employee assistance programs, including counseling and financial planning.
- Access to exclusive streaming content and early‑release previews as a perk of working at talentedge.
Application Process
Ready to transform data at scale and join a forward‑thinking team? Follow these steps to apply:
- Review the official job posting on the talentedge careers portal.
- Prepare a resume that highlights your experience with distributed data systems, programming languages, and cloud platforms.
- Submit a concise cover letter explaining why you’re excited about the Senior Data Engineer role at talentedge and how your background aligns with the responsibilities.
- Attach copies of your graduate degree certificate, relevant transcripts, and a recent passport‑size photo.
- Complete the online application form and click “Submit.” You will receive a confirmation email with next steps.
Frequently Asked Questions
What does a typical day look like for a remote data engineer at talentedge?
You’ll start by reviewing pipeline health dashboards, triaging any alerts, and then diving into feature development or optimization tasks. Collaboration happens via video calls, chat channels, and shared documentation, ensuring you stay aligned with product and data‑science teams.
How does talentedge support remote collaboration?
We provide a suite of communication tools—including video conferencing, project‑management platforms, and shared code repositories—paired with a culture that encourages regular check‑ins, virtual coffee chats, and knowledge‑sharing sessions.
What growth opportunities exist after mastering the Senior Data Engineer role?
Beyond technical leadership, you can transition into platform architecture, data‑strategy consulting, or managerial tracks that oversee larger engineering groups.
Join talentedge Today
If you are passionate about building data pipelines that power millions of experiences, thrive in a remote‑first setting, and are eager to grow alongside industry pioneers, talentedge wants to hear from you. Apply now and become a key contributor to the data foundation that fuels the world’s most beloved streaming platform.
``` Apply for this job