Part‑Time Data Entry & Analytics Engineer – Remote, $20/hr – Join worksphere’s Growing Data‑Driven Team

Why worksphere?

worksphere is a global leader in streaming entertainment, delivering millions of hours of original series, documentaries, and feature films to audiences in over 190 countries. With a subscriber base that exceeds two hundred million, worksphere is redefining how content is created, distributed, and experienced. Our relentless focus on technology, data, and innovation enables us to stream high‑quality video at massive scale while continuously improving the viewer experience. As a data‑centric organization, worksphere relies on a vibrant community of data engineers, analysts, and scientists to turn raw information into actionable insights that shape product strategy, improve operational efficiency, and delight our members worldwide.

Position Overview

worksphere is seeking enthusiastic, detail‑oriented individuals for a Part‑Time Data Entry & Analytics Engineer role. This is a fully remote opportunity that offers a competitive hourly rate of $20, flexible 8‑hour weekly schedules, and the chance to work alongside some of the brightest minds in data engineering. You will be a key contributor to our data collection, curation, and pipeline development efforts, helping to power the analytics that drive business decisions across product, finance, content, and studio divisions.

Key Responsibilities

• Enter, validate, and maintain high‑volume data sets from diverse sources, ensuring accuracy and completeness.
• Collaborate with senior data engineers to design, build, and maintain batch and real‑time data pipelines that feed critical business metrics.
• Develop and execute SQL queries and scripts to extract, transform, and load (ETL) data for reporting and analytical purposes.
• Assist in the creation of data models that support machine‑learning initiatives and predictive analytics.
• Monitor data quality, troubleshoot pipeline failures, and implement corrective actions promptly.
• Document data flows, schema definitions, and operational procedures to promote knowledge sharing across teams.
• Participate in cross‑functional meetings with product, finance, and content teams to understand data requirements and translate them into technical solutions.
• Stay current with emerging big‑data technologies (e.g., Apache Spark, Flink) and propose improvements to existing architectures.
• Contribute to a culture of continuous learning by sharing insights, best practices, and innovative ideas with peers.

Essential Qualifications

• Demonstrated ability to write clean, maintainable code and a willingness to learn new technologies independently.
• Proficiency in at least one major programming language such as Python, Java, or Scala.
• Strong SQL skills with experience querying large, relational datasets.
• Hands‑on experience with distributed data processing frameworks (e.g., Apache Spark, Apache Flink) or a solid understanding of their concepts.
• Background in at least one of the following areas: distributed data processing, software engineering for data services, or statistical modeling.
• Excellent analytical mindset, attention to detail, and a passion for turning raw data into meaningful insights.
• Strong written and verbal communication skills, enabling effective collaboration with technical and non‑technical stakeholders.
• Ability to thrive in a fast‑moving, ambiguous environment while taking smart risks and delivering results.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, Azure) and data storage solutions such as S3, BigQuery, or Redshift.
• Familiarity with containerization technologies (Docker, Kubernetes) for deploying data pipelines.
• Knowledge of data‑visualization tools (Tableau, Looker, Power BI) to create dashboards for business users.
• Previous exposure to streaming data processing and real‑time analytics.
• Understanding of machine‑learning pipelines and feature engineering concepts.
• Experience working remotely with distributed teams across multiple time zones.

Skills & Competencies for Success

• Problem‑Solving: Ability to dissect complex data challenges and devise elegant, scalable solutions.
• Collaboration: Comfortable partnering with engineers, product managers, and analysts to align data initiatives with business goals.
• Documentation: Commitment to thorough, clear documentation that supports reproducibility and knowledge transfer.
• Adaptability: Quick to adjust priorities as new data sources emerge or business needs shift.
• Curiosity: A genuine interest in exploring data trends, uncovering hidden patterns, and asking the right questions.
• Ownership: Takes responsibility for end‑to‑end delivery of data solutions, from ingestion to insight.

Career Growth & Learning Opportunities

worksphere invests heavily in the professional development of its team members. As a part‑time data engineer, you will have access to:

• Mentorship from senior data architects and industry veterans.
• Internal training programs covering cloud services, big‑data frameworks, and advanced analytics.
• Opportunities to contribute to high‑visibility projects that directly impact millions of viewers.
• Pathways to transition into full‑time roles, senior engineering positions, or specialized data‑science tracks.
• Conference sponsorships, certifications, and a library of technical resources.

Work Environment & Culture at worksphere

At worksphere, culture is built on transparency, candor, and a relentless pursuit of excellence. We celebrate diverse perspectives and encourage every employee to voice ideas, challenge assumptions, and drive innovation. Our remote‑first policy means you can work from anywhere in the United States, with flexible scheduling that respects your personal commitments. Key cultural pillars include:

• Freedom & Responsibility: You have the autonomy to choose how you work, balanced by accountability for outcomes.
• Data‑Driven Decision‑Making: Every strategic move is backed by rigorous analysis and measurable metrics.
• Feedback Culture: Constructive, candid feedback is exchanged regularly to foster continuous improvement.
• Inclusivity: We champion an environment where all voices are heard and respected.
• Innovation Labs: Dedicated time for experimentation, hackathons, and exploring emerging technologies.

Compensation, Perks & Benefits

worksphere offers a market‑competitive hourly rate of $20, with the potential for performance‑based adjustments. While the role is part‑time, you will still enjoy a suite of benefits designed to support your well‑being and professional growth:

• Access to health, dental, and vision plans (eligible based on hours worked).
• Paid time off and flexible holidays to recharge.
• Remote‑work stipend for home office setup (internet, ergonomic equipment).
• Employee assistance program and mental‑health resources.
• Learning & development budget for courses, certifications, and conferences.
• Company‑wide events, virtual socials, and community‑building activities.

Interview Process & What to Expect

Our interview process is designed to be transparent, respectful of your time, and focused on assessing both technical aptitude and cultural fit. Typical stages include:

1. Initial Screening: A brief conversation with a recruiter to discuss your background, motivations, and the role.
2. Technical Assessment: A take‑home or live coding exercise that evaluates your programming, SQL, and data‑pipeline skills.
3. Team Interview: A deeper dive with senior data engineers and product partners, covering problem‑solving, collaboration, and real‑world scenarios.
4. Culture Fit Conversation: An informal chat to explore how your values align with worksphere’s culture of freedom, responsibility, and candor.
5. Offer & Onboarding: A clear, written offer followed by a structured onboarding plan that gets you productive from day one.

Throughout the process, you’ll receive timely feedback and have the opportunity to ask questions about the role, team dynamics, and growth pathways.

How to Apply

If you are excited about leveraging data to shape the future of entertainment, we want to hear from you. Click the link below to submit your resume, a brief cover letter highlighting your relevant experience, and any portfolio or project samples that showcase your data‑engineering capabilities.

Apply to This Position at worksphere

Take the Next Step

worksphere is on a mission to entertain the world, and we need passionate data professionals to help us get there. Join us, work remotely, earn a competitive wage, and become part of a culture that values curiosity, impact, and continuous learning. Apply today and start your journey with worksphere!

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