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Part‑Time Data Engineer – Streaming Data & Analytics – $20/hr – Join arenaflex’s Innovative Data Team

Work from home Full-time role Hiring
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About arenaflex – Pioneering Entertainment at Scale

arenaflex is redefining how the world experiences entertainment. With more than 200 million paid members across 190+ countries, we deliver a vast library of movies, series, documentaries, and original content to hundreds of millions of devices every day. Our mission is to bring joy to audiences worldwide by leveraging cutting‑edge technology, data‑driven insights, and a relentless focus on user experience. As a global leader in streaming, arenaflex continuously pushes the boundaries of what’s possible in content delivery, recommendation engines, and real‑time analytics.

Why This Role Matters

Data is the lifeblood of arenaflex. From product decisions to content acquisition, from financial forecasting to studio operations, every strategic move is powered by accurate, timely, and well‑structured data. As a Part‑Time Data Engineer, you will be a crucial member of our Data Engineering team, helping to build, maintain, and optimize the pipelines that turn raw data into actionable intelligence. This role offers a unique blend of technical challenge, creative problem‑solving, and the flexibility of part‑time work.

Role Overview

In this position you will design, develop, and operate data solutions that support a variety of internal stakeholders, including product, finance, content, and studio teams. You will work closely with senior data engineers, data scientists, and business analysts to ensure that data flows reliably from source systems to downstream analytics platforms. While the role is part‑time, the impact is full‑time – your contributions will directly influence the quality of insights that drive arenaflex’s global strategy.

Key Responsibilities

  • Design, implement, and maintain scalable batch and real‑time data pipelines using technologies such as Apache Spark, Flink, and Kafka.
  • Collaborate with product, finance, and content teams to understand data requirements and translate them into robust engineering solutions.
  • Write clean, well‑documented, and testable code in at least one primary programming language (Java, Scala, or Python) and develop SQL queries for data extraction and transformation.
  • Monitor pipeline performance, troubleshoot failures, and proactively optimize for latency, throughput, and cost efficiency.
  • Develop and enforce data quality standards, including validation checks, anomaly detection, and automated alerting.
  • Participate in code reviews, knowledge‑sharing sessions, and cross‑functional design workshops.
  • Contribute to the evolution of arenaflex’s data platform architecture, ensuring it remains future‑proof and aligned with industry best practices.
  • Document data models, schema changes, and operational procedures to support seamless onboarding of new team members.
  • Assist in building dashboards and reporting tools that empower non‑technical stakeholders to explore data independently.
  • Stay current with emerging data technologies and propose innovative solutions that can give arenaflex a competitive edge.

Essential Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • At least 2 years of hands‑on experience building data pipelines or developing data‑intensive applications.
  • Proficiency in one or more programming languages: Java, Scala, or Python.
  • Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehouses (e.g., Snowflake, Redshift).
  • Familiarity with distributed data processing frameworks such as Apache Spark or Apache Flink.
  • Demonstrated ability to work independently, manage priorities, and meet deadlines in a fast‑moving environment.
  • Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.

Preferred Qualifications

  • Experience with streaming platforms like Apache Kafka, Kinesis, or Pulsar.
  • Knowledge of cloud services (AWS, GCP, Azure) and infrastructure‑as‑code tools (Terraform, CloudFormation).
  • Background in data modeling, data warehousing, or data lake design.
  • Exposure to machine‑learning pipelines and feature engineering workflows.
  • Previous work in the entertainment, media, or streaming industry.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).

Core Skills & Competencies

  • Analytical Mindset: Ability to dissect complex problems, identify root causes, and devise elegant solutions.
  • Collaboration: Comfortable partnering with cross‑functional teams, sharing knowledge, and giving/receiving constructive feedback.
  • Adaptability: Thrive in an environment where requirements evolve rapidly and ambiguity is the norm.
  • Attention to Detail: Commitment to high‑quality code, thorough testing, and meticulous documentation.
  • Curiosity & Learning: Passion for staying ahead of data‑engineering trends and continuously expanding technical expertise.

Career Growth & Learning Opportunities

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

  • Mentorship from senior data engineers and architects who have built world‑class data platforms.
  • Internal training programs, workshops, and conference sponsorships covering topics such as cloud data engineering, real‑time analytics, and big‑data security.
  • Opportunities to transition to full‑time roles or explore adjacent areas like data science, product analytics, or infrastructure engineering.
  • A collaborative environment that encourages experimentation, innovation, and the sharing of ideas across teams.

Work Environment & Culture at arenaflex

Our culture is built on freedom, responsibility, and a relentless pursuit of excellence. At arenaflex you will find:

  • Flexibility: Remote work options and a part‑time schedule that respects work‑life balance.
  • Transparency: Open communication channels, regular town‑halls, and a culture of candid feedback.
  • Diversity & Inclusion: A commitment to building a workforce that reflects the global audience we serve.
  • Innovation‑First Mindset: Teams are encouraged to take smart risks, experiment with new technologies, and challenge the status quo.
  • Community: Employee resource groups, virtual coffee chats, and social events that foster connection across geographies.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $20 per hour, with additional performance‑based bonuses. While specific benefits may vary based on location, part‑time employees typically enjoy:

  • Access to health, dental, and vision plans (where applicable).
  • Paid time off and flexible holidays.
  • Employee discount on arenaflex streaming subscriptions.
  • Professional development stipend for courses, certifications, or conferences.
  • Wellness resources, including mental‑health support and virtual fitness classes.

Application Process

Our hiring process is designed to be straightforward and respectful of your time. It typically includes:

  • Resume Review: Our recruiting team assesses your experience against the role’s requirements.
  • Technical Screening: A short coding exercise or take‑home assignment focused on data pipelines or SQL.
  • Interview: One or two virtual interviews with a senior data engineer and a hiring manager to discuss technical depth, collaboration style, and cultural fit.
  • Offer: If selected, you’ll receive a detailed offer outlining compensation, schedule, and next steps.

Equal Opportunity Statement

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates of all backgrounds, identities, and experiences are encouraged to apply.

Ready to Join arenaflex?

If you are passionate about turning raw data into strategic insight, love solving complex engineering challenges, and thrive in a dynamic, globally‑distributed team, we want to hear from you. Apply today and become part of the data‑driven engine that powers the world’s most beloved entertainment platform.

Apply Now – Start Your Journey with arenaflex!

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