Remote Data Engineer – Data Entry & ETL/ELT Pipeline Specialist – $27/hr – arenaflex

About arenaflex

arenaflex is a global leader in entertainment, media, and immersive experiences, delivering unforgettable moments to millions of guests and viewers every day. With a portfolio that spans theme parks, streaming platforms, live events, and sports broadcasting, arenaflex blends creativity with cutting‑edge technology to shape the future of storytelling. Our Data Science & Innovation (DSI) division powers the insights engine that fuels strategic decisions across all business units, from park operations to digital content delivery. As part of arenaflex’s commitment to a data‑driven culture, we are expanding our remote workforce to include top‑tier talent who can thrive in a flexible, home‑based environment while contributing to world‑class data initiatives.

Why This Role Matters

In today’s fast‑moving entertainment ecosystem, accurate, timely, and well‑structured data is the backbone of every successful product launch, guest experience, and operational improvement. As a Remote Data Engineer specializing in data entry, ETL/ELT pipeline development, and data quality assurance, you will be a critical partner to the Data Science, Product, and Innovation teams. Your work will directly influence how arenaflex creates magical experiences, optimizes revenue streams, and maintains its competitive edge in a rapidly evolving market.

Key Responsibilities

• Data Requirements Gathering: Collaborate with business analysts, product owners, and data scientists to translate business needs into clear, actionable data specifications.
• Source‑to‑Target Mapping: Design and document comprehensive source‑to‑target mappings that outline data flow from raw ingestion points to final analytical datasets.
• Data Validation & Auditing: Build and maintain robust validation frameworks to ensure data integrity, completeness, and compliance with internal governance standards.
• ETL/ELT Pipeline Development: Develop, test, and deploy scalable pipelines using SQL (Snowflake, PostgreSQL), Python, and modern orchestration tools such as Airflow or Prefect.
• Pipeline Monitoring & Optimization: Implement automated monitoring, alerting, and performance tuning to keep pipelines running efficiently 24/7.
• Data Modeling & Schema Design: Create logical and physical data models, define table structures, and enforce naming conventions that support downstream analytics and machine‑learning workloads.
• Collaboration with DevOps: Work closely with the DevOps team to containerize data services using Docker, manage version control with GitLab/GitHub, and support multi‑environment deployments (Dev, QA, Prod).
• Documentation & Knowledge Sharing: Produce clear, concise documentation for data pipelines, data dictionaries, and operational runbooks to enable seamless hand‑offs and onboarding.
• Continuous Improvement: Identify opportunities to automate repetitive tasks, streamline data workflows, and adopt emerging best practices in data engineering.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum of 2 years of hands‑on experience designing, building, and supporting ELT/ETL pipelines in a production environment.
• Proven expertise in Python programming and advanced SQL querying, preferably with Snowflake or PostgreSQL.
• Experience implementing data pipelines in a multi‑environment setup (development, testing, production) and familiarity with CI/CD concepts.
• Hands‑on experience with workflow orchestration tools (e.g., Airflow, Prefect, Luigi) and automated job scheduling.
• Solid understanding of relational database design, data warehousing concepts, and data modeling techniques.
• Strong analytical mindset with the ability to troubleshoot complex data issues and propose effective solutions.

Preferred Qualifications

• Experience working with large‑scale cloud data platforms such as Snowflake, Databricks, or BigQuery.
• Knowledge of cloud infrastructure services, especially AWS (S3, Redshift, Glue, Lambda).
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for data services.
• Experience managing source‑code repositories and pull‑request workflows in GitLab or GitHub.
• Exposure to data governance frameworks, data lineage tools, and regulatory compliance (e.g., GDPR, CCPA).
• Prior work in the entertainment, media, or hospitality sectors, understanding the unique data challenges of those domains.

Core Skills & Competencies

• Technical Proficiency: Mastery of SQL, Python, and data pipeline frameworks; ability to write clean, maintainable code.
• Problem‑Solving: Analytical thinking to dissect data anomalies, performance bottlenecks, and integration challenges.
• Communication: Clear articulation of technical concepts to non‑technical stakeholders; strong documentation habits.
• Collaboration: Team‑oriented mindset, comfortable working across product, analytics, and engineering groups.
• Adaptability: Ability to thrive in a fast‑paced, remote environment, managing priorities and deadlines independently.
• Continuous Learning: Passion for staying current with emerging data technologies, industry trends, and best practices.

Career Growth & Learning Opportunities

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

• Mentorship programs pairing you with senior data architects and industry experts.
• Annual learning stipend for certifications, conferences, or online courses (e.g., SnowPro, AWS Certified Data Analytics, Coursera).
• Internal hackathons and innovation challenges that encourage creative problem‑solving and cross‑functional collaboration.
• Clear career pathways from Data Engineer to Senior Engineer, Data Platform Lead, or Data Architecture Manager.
• Opportunities to work on high‑visibility projects that directly impact guest experiences and revenue generation.

Work Environment & Culture at arenaflex

Our remote workforce is built on trust, flexibility, and a shared passion for storytelling through data. At arenaflex you will experience:

• Flexibility: Fully remote work with flexible hours that accommodate different time zones and personal schedules.
• Inclusive Culture: A diverse, global community that celebrates different perspectives and encourages open dialogue.
• Innovation‑First Mindset: A culture that rewards curiosity, experimentation, and data‑driven decision making.
• Well‑Being Programs: Access to mental‑health resources, virtual fitness classes, and ergonomic home‑office stipends.
• Recognition & Rewards: Regular acknowledgment of achievements through internal awards, spot bonuses, and career milestones.

Compensation, Benefits & Perks

arenaflex offers a competitive compensation package that reflects the value you bring to the organization. While the base hourly rate for this role is $27 per hour, total rewards include:

• Performance‑based bonuses and annual salary reviews.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching contributions.
• Generous paid time off, parental leave, and holiday schedules.
• Professional development budget and tuition reimbursement.
• Technology allowance for home‑office equipment, high‑speed internet, and software licenses.
• Employee assistance programs, wellness apps, and virtual social events.

How to Apply

If you are ready to join a world‑class entertainment company, work on data that powers magical experiences, and grow your career in a supportive remote environment, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining why you are the perfect fit for this role at arenaflex.

Apply Now – Start Your Journey with arenaflex!