Remote Data Entry Specialist – High‑Volume Distributed Systems – $30/hr – Join careerzynith’s Global Data Platform from Anywhere in the U.S.
About careerzynith
careerzynith is a world‑leading entertainment and technology company that connects millions of people to the stories, games, and experiences they love. With a presence in more than 190 countries and content available in over 30 languages, careerzynith serves a vibrant community of over 220 million paid members. As the industry evolves, careerzynith is expanding beyond streaming into interactive entertainment, gaming, and next‑generation media experiences. Our mission is to inspire the world by delivering unforgettable moments, and our data platforms are the engine that powers that vision.
Why This Role Matters
Data is the lifeblood of careerzynith. Every recommendation, every subtitle, every game‑play session relies on accurate, timely, and reliable information. As a Remote Data Entry Specialist, you will be a critical part of the teams that design, build, and operate the distributed data infrastructure that enables careerzynith to serve content at petabyte scale with sub‑millisecond latency. Your work will directly impact the quality of the user experience for hundreds of millions of customers worldwide.
Role Overview
This position is fully remote, open to candidates located anywhere in the United States. You will collaborate with engineers, product managers, and technical program managers across multiple data platform groups. Your primary focus will be on ingesting, validating, and maintaining high‑volume data sets that feed into careerzynith’s recommendation engines, analytics pipelines, and content delivery systems.
Key Responsibilities
Perform high‑accuracy data entry, transformation, and validation for large‑scale data feeds.
Develop and maintain scripts and tools (primarily in Python) to automate repetitive data‑handling tasks.
Collaborate with the Data Access Platform team to ensure that data ingestion pipelines meet latency and throughput targets.
Work closely with the Data Platform Foundation group to integrate new data sources into existing platforms while adhering to best practices for security and reliability.
Participate in code reviews, design discussions, and architecture workshops to continuously improve data platform robustness.
Monitor data quality metrics, troubleshoot anomalies, and implement corrective actions in real time.
Contribute to open‑source initiatives and share knowledge with the broader careerzynith engineering community.
Document processes, create runbooks, and provide training to junior team members.
Essential Qualifications
2+ years of professional experience building or maintaining large‑scale distributed systems or data‑intensive applications.
Proficiency in at least one object‑oriented programming language such as Java, C++, or Go.
Strong command of Python for scripting, data manipulation, and automation.
Hands‑on experience with relational and NoSQL databases, including SQL query optimization.
Demonstrated ability to design, implement, and troubleshoot data pipelines that handle petabyte‑scale workloads.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Excellent problem‑solving skills and the ability to think critically about complex data challenges.
Preferred Qualifications
Experience with distributed data processing frameworks such as Apache Kafka, Apache Flink, or similar.
Familiarity with cloud‑native technologies (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
Knowledge of query engines like Presto/Trino, Druid, or Iceberg.
Exposure to data warehousing concepts and ETL/ELT best practices.
Contributions to open‑source projects or active participation in technical communities.
Understanding of data security, compliance, and governance standards.
Skills & Competencies
Analytical Mindset: Ability to dissect large data sets, identify patterns, and propose actionable improvements.
Collaboration: Strong communication skills for working across distributed, cross‑functional teams.
Adaptability: Comfort with fast‑paced environments and evolving technical requirements.
Attention to Detail: Commitment to data accuracy and consistency in high‑volume environments.
Ownership: Proactive attitude toward taking responsibility for end‑to‑end data workflows.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Remote Data Entry Specialist, you will have access to:
Mentorship programs with senior engineers and architects.
Internal technical talks, workshops, and hackathons focused on data engineering, cloud technologies, and open‑source contributions.
Tuition reimbursement for relevant certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer).
Opportunities to transition into senior engineering, data‑platform product management, or specialized roles such as Data Reliability Engineer.
Work Environment & Culture at careerzynith
careerzynith fosters a culture of curiosity, inclusion, and continuous improvement. Our remote‑first philosophy means you can work from any location in the United States while staying connected through virtual collaboration tools, regular team‑wide syncs, and quarterly in‑person meet‑ups. We celebrate diversity of thought, encourage experimentation, and reward innovative solutions that move the needle for our global audience.
Compensation, Perks & Benefits
While exact figures vary by experience and location, careerzynith offers a competitive hourly rate of $30 per hour, plus the following benefits:
Comprehensive health, dental, and vision coverage.
401(k) plan with company match.
Generous paid time off and flexible holidays.
Remote‑work stipend for home office setup, high‑speed internet, and ergonomic accessories.
Wellness programs, including mental‑health resources and virtual fitness classes.
Employee assistance program and access to financial planning services.
Opportunities to earn stock options as part of the broader careerzynith equity program.
How to Apply
If you are passionate about data, love solving complex engineering problems, and want to be part of a global entertainment leader that values innovation and collaboration, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith.
Apply Job!
Join careerzynith and help shape the future of entertainment data.
Apply for this job
careerzynith is a world‑leading entertainment and technology company that connects millions of people to the stories, games, and experiences they love. With a presence in more than 190 countries and content available in over 30 languages, careerzynith serves a vibrant community of over 220 million paid members. As the industry evolves, careerzynith is expanding beyond streaming into interactive entertainment, gaming, and next‑generation media experiences. Our mission is to inspire the world by delivering unforgettable moments, and our data platforms are the engine that powers that vision.
Why This Role Matters
Data is the lifeblood of careerzynith. Every recommendation, every subtitle, every game‑play session relies on accurate, timely, and reliable information. As a Remote Data Entry Specialist, you will be a critical part of the teams that design, build, and operate the distributed data infrastructure that enables careerzynith to serve content at petabyte scale with sub‑millisecond latency. Your work will directly impact the quality of the user experience for hundreds of millions of customers worldwide.
Role Overview
This position is fully remote, open to candidates located anywhere in the United States. You will collaborate with engineers, product managers, and technical program managers across multiple data platform groups. Your primary focus will be on ingesting, validating, and maintaining high‑volume data sets that feed into careerzynith’s recommendation engines, analytics pipelines, and content delivery systems.
Key Responsibilities
Perform high‑accuracy data entry, transformation, and validation for large‑scale data feeds.
Develop and maintain scripts and tools (primarily in Python) to automate repetitive data‑handling tasks.
Collaborate with the Data Access Platform team to ensure that data ingestion pipelines meet latency and throughput targets.
Work closely with the Data Platform Foundation group to integrate new data sources into existing platforms while adhering to best practices for security and reliability.
Participate in code reviews, design discussions, and architecture workshops to continuously improve data platform robustness.
Monitor data quality metrics, troubleshoot anomalies, and implement corrective actions in real time.
Contribute to open‑source initiatives and share knowledge with the broader careerzynith engineering community.
Document processes, create runbooks, and provide training to junior team members.
Essential Qualifications
2+ years of professional experience building or maintaining large‑scale distributed systems or data‑intensive applications.
Proficiency in at least one object‑oriented programming language such as Java, C++, or Go.
Strong command of Python for scripting, data manipulation, and automation.
Hands‑on experience with relational and NoSQL databases, including SQL query optimization.
Demonstrated ability to design, implement, and troubleshoot data pipelines that handle petabyte‑scale workloads.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Excellent problem‑solving skills and the ability to think critically about complex data challenges.
Preferred Qualifications
Experience with distributed data processing frameworks such as Apache Kafka, Apache Flink, or similar.
Familiarity with cloud‑native technologies (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
Knowledge of query engines like Presto/Trino, Druid, or Iceberg.
Exposure to data warehousing concepts and ETL/ELT best practices.
Contributions to open‑source projects or active participation in technical communities.
Understanding of data security, compliance, and governance standards.
Skills & Competencies
Analytical Mindset: Ability to dissect large data sets, identify patterns, and propose actionable improvements.
Collaboration: Strong communication skills for working across distributed, cross‑functional teams.
Adaptability: Comfort with fast‑paced environments and evolving technical requirements.
Attention to Detail: Commitment to data accuracy and consistency in high‑volume environments.
Ownership: Proactive attitude toward taking responsibility for end‑to‑end data workflows.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Remote Data Entry Specialist, you will have access to:
Mentorship programs with senior engineers and architects.
Internal technical talks, workshops, and hackathons focused on data engineering, cloud technologies, and open‑source contributions.
Tuition reimbursement for relevant certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer).
Opportunities to transition into senior engineering, data‑platform product management, or specialized roles such as Data Reliability Engineer.
Work Environment & Culture at careerzynith
careerzynith fosters a culture of curiosity, inclusion, and continuous improvement. Our remote‑first philosophy means you can work from any location in the United States while staying connected through virtual collaboration tools, regular team‑wide syncs, and quarterly in‑person meet‑ups. We celebrate diversity of thought, encourage experimentation, and reward innovative solutions that move the needle for our global audience.
Compensation, Perks & Benefits
While exact figures vary by experience and location, careerzynith offers a competitive hourly rate of $30 per hour, plus the following benefits:
Comprehensive health, dental, and vision coverage.
401(k) plan with company match.
Generous paid time off and flexible holidays.
Remote‑work stipend for home office setup, high‑speed internet, and ergonomic accessories.
Wellness programs, including mental‑health resources and virtual fitness classes.
Employee assistance program and access to financial planning services.
Opportunities to earn stock options as part of the broader careerzynith equity program.
How to Apply
If you are passionate about data, love solving complex engineering problems, and want to be part of a global entertainment leader that values innovation and collaboration, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith.
Apply Job!
Join careerzynith and help shape the future of entertainment data.
Apply for this job