Remote Data Engineer (L5) – Content Tagging & Data Entry Specialist for talentflow – Full‑Time, Global, Remote‑First Opportunity

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About talentflow – Shaping the Future of Global Entertainment

talentflow is a world‑leading streaming and entertainment platform that reaches over 200 million paid subscribers in more than 190 countries. Our mission is to inspire and entertain audiences by delivering high‑quality series, movies, documentaries, and original content across a diverse range of genres and languages. As a technology‑driven company, we continuously push the boundaries of what is possible in video delivery, data‑driven personalization, and AI‑powered recommendation engines. Joining talentflow means becoming part of a vibrant, inclusive community that values curiosity, collaboration, and relentless innovation.

Position Overview

We are seeking a highly motivated Remote Data Engineer (L5) – Content Tagging & Data Entry Specialist to join our global data team. In this role, you will be responsible for curating, tagging, and maintaining massive volumes of metadata that power talentflow’s recommendation algorithms, search functionality, and user experience. This is a full‑time, remote‑first position with occasional travel to our Los Gatos, California headquarters for team gatherings and strategic workshops.

Key Responsibilities

• Develop, maintain, and optimize large‑scale data pipelines that ingest, transform, and store content metadata from a variety of sources.
• Perform detailed content tagging and data entry tasks, ensuring accuracy, consistency, and adherence to talentflow’s taxonomy standards.
• Collaborate with product, engineering, and analytics teams to translate business requirements into robust data solutions.
• Design and implement data validation and quality‑control processes, including automated testing and manual review workflows.
• Utilize SQL, Python, and at least one major programming language (Java, Scala, or similar) to query, manipulate, and enrich datasets.
• Work with distributed processing frameworks such as Apache Flink, Spark, or similar technologies to handle web‑scale datasets.
• Document data models, pipeline architectures, and operational procedures to facilitate knowledge sharing across the organization.
• Provide technical support and troubleshooting for data‑related incidents, ensuring minimal disruption to downstream services.
• Participate in cross‑functional agile ceremonies, including sprint planning, stand‑ups, retrospectives, and demo sessions.
• Mentor junior data engineers and data entry specialists, fostering a culture of continuous learning and improvement.

Essential Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
• Minimum of 5 years of professional experience in data engineering, data analytics, or large‑scale data management.
• Proficiency in at least one major programming language (Java, Scala, Python) and strong SQL skills.
• Hands‑on experience with distributed data processing frameworks (e.g., Apache Flink, Spark, Hadoop).
• Demonstrated ability to design and maintain high‑throughput data pipelines that process petabyte‑scale datasets.
• Strong analytical mindset with a keen eye for detail and a passion for data quality.
• Excellent written and verbal communication skills, capable of translating technical concepts to non‑technical stakeholders.
• Ability to work independently in a remote environment while collaborating effectively with globally distributed teams.

Preferred Qualifications

• Master’s degree or advanced certifications in data engineering, big data, or cloud platforms.
• Experience with cloud services such as AWS, Google Cloud Platform, or Azure, particularly data‑focused services (e.g., Redshift, BigQuery, Snowflake).
• Familiarity with machine‑learning pipelines and the role of metadata in training recommendation models.
• Knowledge of content taxonomy, media metadata standards (e.g., EIDR, METS), and best practices for tagging large media libraries.
• Previous experience in a fast‑growing entertainment or streaming technology company.

Core Skills & Competencies

• Technical Acumen: Deep understanding of data architecture, ETL processes, and distributed computing.
• Problem‑Solving: Ability to diagnose complex data issues, propose innovative solutions, and implement them efficiently.
• Collaboration: Strong team player who thrives in cross‑functional environments and values diverse perspectives.
• Adaptability: Comfortable navigating ambiguous requirements and rapidly changing priorities.
• Documentation: Commitment to producing clear, concise, and comprehensive technical documentation.
• Quality Focus: Passion for data integrity, with a track record of implementing rigorous validation frameworks.

Career Growth & Learning Opportunities

talentflow invests heavily in the professional development of its employees. As a Data Engineer, you will have access to:

• Mentorship programs pairing you with senior engineers and data scientists.
• Annual learning stipend for conferences, certifications, and online courses.
• Internal hackathons and innovation challenges that encourage creative problem‑solving.
• Opportunities to transition into specialized roles such as Machine Learning Engineer, Data Architecture Lead, or Product Analytics Manager.
• Regular career‑path reviews to align your growth aspirations with business needs.

Work Environment & Culture at talentflow

Our culture is built on the pillars of inclusion, curiosity, and impact. We celebrate diversity of thought, background, and experience, believing that a wide range of perspectives fuels better products and a healthier workplace. Key cultural attributes include:

• Open‑Door Leadership: Leaders are accessible, transparent, and encourage feedback at all levels.
• Data‑Driven Decision Making: Every strategic move is backed by rigorous analysis and insight.
• Flexibility: Remote‑first work model with flexible hours, supporting work‑life harmony.
• Community Engagement: Employee resource groups, volunteer initiatives, and social events that foster connection.
• Innovation Focus: Dedicated time for personal projects and experimentation.

Compensation, Perks & Benefits

talentflow offers a competitive total rewards package designed to support your financial, health, and personal well‑being:

• Base Salary: $35,000 – $40,000 USD per year (adjusted based on experience, location, and market benchmarks).
• Performance‑Based Bonus: Annual discretionary bonus tied to individual and company performance.
• Health & Wellness: Comprehensive medical, dental, and vision coverage, plus mental‑health resources.
• Retirement Savings: 401(k) plan with company match.
• Paid Time Off: 35 days of accrued PTO annually, plus additional holidays and sick leave.
• Family Benefits: Parental leave, flexible spending accounts, and child‑care assistance.
• Learning & Development: Tuition reimbursement, certification support, and internal training programs.
• Employee Assistance Programs: Confidential counseling, legal assistance, and financial planning services.
• Remote Work Stipend: Annual allowance for home office setup and internet expenses.

Application Process

We have streamlined the application journey to make it as straightforward as possible. Follow these steps to be considered for the role:

1. Review the official job posting on the talentflow careers portal.
2. Prepare the required documents: a copy of your degree certificate with transcripts, a recent passport‑size photograph, and a digital signature.
3. Complete the online application form, ensuring all fields are accurately filled.
4. Upload your resume, cover letter, and the supporting documents listed above.
5. Submit your application and await a confirmation email with next‑step instructions.

Our recruiting team will conduct an initial screening, followed by technical assessments and virtual interviews with hiring managers and potential teammates. We aim to provide feedback within two weeks of each interview stage.

Frequently Asked Interview Questions

• Can you tell us about yourself and your professional journey?
• What specifically interests you about the Data Engineer role at talentflow?
• Describe a time when you solved a complex data problem creatively.
• How do you prioritize tasks when handling multiple data pipelines simultaneously?
• What strategies do you use to maintain data quality under tight deadlines?
• How do you stay current with emerging data technologies and industry trends?
• What are your long‑term career aspirations within the data domain?

Why Join talentflow?

At talentflow, you will be part of a mission‑driven organization that is redefining how the world consumes entertainment. Your work will directly influence the experiences of millions of viewers, shaping the content they discover and enjoy every day. If you are passionate about data, love tackling large‑scale challenges, and thrive in a collaborative, inclusive environment, we invite you to bring your expertise to our team.

Ready to Make an Impact?

Take the next step in your career and help us build the future of streaming. Apply today and become a pivotal member of talentflow’s data engineering community.

Apply Now – Submit Your Application

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