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Why talentedge?
talentedge is a global leader in digital entertainment and data‑driven experiences, delivering streaming content, interactive gaming, and cutting‑edge data platforms to millions of users across more than 190 countries. Our mission is to empower creators and audiences alike by building the most reliable, high‑performance infrastructure on the planet. As a remote‑first organization, talentedge embraces flexibility, diversity, and innovation, allowing talent from anywhere in the United States to contribute to world‑class products without ever leaving their home office.
Position Overview
We are seeking a highly motivated Remote Data Platform Engineer to join our growing Distributed Systems team. This full‑time, remote position offers a competitive hourly rate of $27 / hour and the chance to work on mission‑critical data services that power talentedge’s streaming, recommendation, and gaming experiences. You will collaborate with cross‑functional engineers, product managers, and technical program managers to design, build, and operate scalable data pipelines, storage solutions, and query platforms that serve billions of events daily.
Key Responsibilities
- Design, develop, and maintain high‑throughput data ingestion pipelines that handle petabyte‑scale workloads.
- Build and operate low‑latency data access layers, enabling micro‑services to query and consume data in sub‑millisecond timeframes.
- Implement and optimize distributed storage systems (e.g., Apache Iceberg, Hadoop, S3) and query engines (e.g., Presto/Trino, Druid, Flink).
- Collaborate with product and engineering teams to translate business requirements into robust, data‑driven solutions.
- Drive performance tuning, capacity planning, and cost‑optimization initiatives across the data platform.
- Contribute to open‑source projects and share best practices with the broader community, reinforcing talentedge’s reputation as a technology leader.
- Mentor junior engineers, conduct code reviews, and champion a culture of continuous improvement and high‑quality engineering.
- Ensure data security, compliance, and governance standards are met throughout the data lifecycle.
Essential Qualifications
- Minimum 2 years of professional experience building large‑scale distributed data systems or platforms.
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
- Proficiency in at least one modern programming language such as Java, Scala, or Python.
- Hands‑on experience with cloud‑native data services (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Demonstrated ability to design, implement, and troubleshoot high‑availability, fault‑tolerant data pipelines.
- Strong analytical and problem‑solving skills, with a focus on performance optimization and scalability.
- Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
- Experience with streaming frameworks such as Apache Flink, Kafka Streams, or Spark Structured Streaming.
- Deep knowledge of query engines like Presto/Trino, Druid, or ClickHouse, including query optimization techniques.
- Familiarity with data modeling, schema evolution, and data governance tools.
- Contributions to open‑source projects or a strong presence in the open‑source community.
- Prior experience working in a fully remote or distributed team environment.
Core Skills & Competencies
- Distributed Systems Thinking: Ability to conceptualize and build systems that remain reliable under massive load.
- Data‑Centric Mindset: Passion for turning raw data into actionable insights and reliable services.
- Collaboration: Proven track record of working effectively with product, engineering, and operations teams.
- Adaptability: Comfort navigating fast‑paced, evolving technology stacks and business priorities.
- Ownership: Self‑starter who takes responsibility for end‑to‑end delivery, from design through production support.
Career Growth & Learning Opportunities
At talentedge, your career trajectory is limited only by your ambition. As a Data Platform Engineer you will:
- Gain exposure to cutting‑edge data technologies used by one of the world’s largest streaming services.
- Participate in internal hackathons, tech talks, and mentorship programs designed to accelerate skill development.
- Access a generous education stipend for certifications, conferences, or advanced coursework.
- Progress to senior engineering roles, technical leadership positions, or specialized data‑science pathways.
- Contribute to open‑source initiatives that are adopted industry‑wide, enhancing both personal and corporate reputation.
Work Environment & Culture at talentedge
talentedge’s remote‑first culture is built on trust, transparency, and inclusion. We celebrate diverse perspectives and encourage every team member to bring their authentic self to work. Our virtual collaboration spaces are designed to foster:
- Flexibility: Choose your own work hours within a standard 8‑hour day, allowing you to balance personal commitments.
- Innovation: A “ship‑fast, learn‑fast” mindset that rewards experimentation and rapid iteration.
- Community: Regular virtual coffee chats, team‑wide town halls, and interest‑based guilds that keep remote employees connected.
- Well‑Being: Comprehensive mental‑health resources, ergonomic home‑office stipends, and wellness programs.
Compensation, Perks & Benefits
While the base hourly rate is $27 / hour, talentedge offers a total rewards package that includes:
- Performance‑based bonuses and equity grants.
- Health, dental, and vision insurance with multiple plan options.
- 401(k) matching contributions to help you plan for the future.
- Generous paid time off, parental leave, and sick days.
- Remote‑work allowance covering internet, coworking space access, and home‑office equipment.
- Continuous learning budget for courses, certifications, and conference attendance.
- Employee assistance programs and mental‑health support.
Simple Application Process
Ready to shape the future of data at talentedge? The application process is straightforward:
- Click the “Apply Now” button below.
- Submit your resume and a brief cover letter highlighting your most relevant experience.
- Our recruiting team will review your profile and reach out within 48 hours to schedule a virtual interview.
- Complete a technical interview focused on data‑platform design and problem‑solving.
- Receive an offer and begin your journey with talentedge!
Apply Now – Join talentedge Today
Join talentedge and Build the Data Foundations of Tomorrow
If you thrive on solving complex, large‑scale data challenges and want to work in an environment that values autonomy, creativity, and impact, talentedge is the place for you. Bring your expertise, curiosity, and passion for data to a company that is redefining entertainment worldwide. We look forward to reviewing your application and welcoming you to our remote‑first family.
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