Remote Data Engineer – Advanced ETL/ELT Pipeline Development, SQL & Python Expertise, $27/hr Full‑Time Remote Position at arenaflex

About arenaflex – Pioneering Entertainment & Technology at Scale

arenaflex is a global leader in immersive entertainment, digital media, and innovative technology solutions. With a portfolio that spans theme parks, streaming platforms, interactive experiences, and cutting‑edge content creation, arenaflex delivers magical moments to millions of fans worldwide. Our data‑driven culture fuels every decision, from guest experience design to operational efficiency, and we rely on world‑class data professionals to turn raw information into actionable insight.

As part of our commitment to building a diverse, inclusive, and forward‑thinking workforce, arenaflex offers flexible remote opportunities that empower talent to thrive from anywhere. If you are passionate about data engineering, love solving complex problems, and want to contribute to a brand that shapes the future of entertainment, this role is for you.

Role Overview – Data Engineer (Remote)

arenaflex’s Data Engineering team partners with Data Science, Product, and Innovation groups to design, build, and maintain robust data pipelines that power analytics, machine learning models, and business intelligence across the organization. As a Remote Data Engineer, you will be responsible for end‑to‑end data flow management, from requirements gathering to pipeline orchestration, ensuring data quality, reliability, and performance at scale.

Key Responsibilities

• Data Requirements Gathering: Collaborate with business stakeholders, data scientists, and product owners to translate business needs into technical specifications and data models.
• ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT processes using SQL (Snowflake/PostgreSQL) and Python, ensuring efficient data extraction, transformation, and loading.
• Data Quality & Validation: Implement automated data validation, testing, and monitoring frameworks to guarantee data integrity and compliance with governance standards.
• Pipeline Orchestration: Build and manage workflow schedulers (e.g., Airflow, Prefect) to automate data pipelines, handle dependencies, and provide reliable job execution.
• Data Modeling & Architecture: Create and evolve logical and physical data models, design schema, tables, and views that support analytical and reporting needs.
• Performance Optimization: Conduct query tuning, indexing, and resource optimization to improve pipeline throughput and reduce latency.
• Collaboration & Documentation: Work closely with DevOps, QA, and security teams to embed best practices, maintain version control (GitLab/GitHub), and document architecture, processes, and standards.
• Continuous Improvement: Stay current with emerging data technologies, propose enhancements, and contribute to the evolution of arenaflex’s data platform strategy.

Essential Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related discipline.
• Minimum 2 years of hands‑on experience building and supporting ELT/ETL pipelines in a production environment.
• Proven expertise in Python programming and advanced SQL (preferably with Snowflake or PostgreSQL).
• Experience developing in multi‑environment setups (Development, QA, Production) and applying DevOps practices for code deployment and versioning.
• Solid understanding of relational database design, data modeling concepts, and data warehousing principles.
• Familiarity with containerization technologies such as Docker and orchestration tools for reproducible environments.
• Strong analytical mindset with the ability to troubleshoot complex data issues and propose effective solutions.

Preferred Qualifications & Differentiators

• Hands‑on experience with cloud‑based data platforms (e.g., Snowflake, Databricks, BigQuery) and cloud services (AWS, Azure, GCP).
• Experience managing large‑scale datasets and distributed processing frameworks.
• Knowledge of infrastructure‑as‑code tools (Terraform, CloudFormation) and CI/CD pipelines for data engineering workflows.
• Exposure to machine learning pipelines and collaboration with data science teams to deliver production‑ready models.
• Certifications in cloud platforms (AWS Certified Data Analytics, Google Cloud Professional Data Engineer) or related technologies.

Core Skills & Competencies

• Technical Proficiency: SQL, Python, Snowflake/PostgreSQL, Docker, GitLab/GitHub, Airflow or similar scheduler.
• Problem‑Solving: Ability to dissect complex data problems, identify root causes, and implement robust fixes.
• Communication: Clear articulation of technical concepts to non‑technical stakeholders and effective documentation skills.
• Collaboration: Team‑oriented mindset, comfortable working in cross‑functional remote teams across time zones.
• Adaptability: Quick learner who thrives in a fast‑paced, ever‑changing environment and embraces new tools and methodologies.

Career Growth & Learning Opportunities

arenaflex invests heavily in employee development. As a Remote Data Engineer, you will have access to:

• Mentorship programs with senior data architects and industry experts.
• Annual learning stipend for certifications, conferences, and online courses.
• Opportunities to work on high‑visibility projects that influence global entertainment experiences.
• Clear career pathways toward senior data engineering, data architecture, or data science leadership roles.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $27 per hour, complemented by a comprehensive benefits package that includes:

• Flexible remote work arrangements with a home office stipend.
• Health, dental, and vision insurance plans with employer contributions.
• Retirement savings options (401(k) with matching contributions).
• Paid time off, holidays, and parental leave.
• Wellness programs, employee assistance resources, and virtual social events.
• Access to arenaflex’s entertainment ecosystem – discounted tickets, streaming subscriptions, and exclusive behind‑the‑scenes experiences.

Work Environment & Culture at arenaflex

Our culture is built on creativity, curiosity, and collaboration. Even though you’ll be working remotely, you’ll feel connected through:

• Regular virtual team stand‑ups, brainstorming sessions, and cross‑departmental workshops.
• Inclusive initiatives that celebrate diverse perspectives and foster a sense of belonging.
• Transparent leadership communication and a strong emphasis on work‑life balance.
• Innovation labs where employees can experiment with emerging technologies and pitch new ideas.

How to Apply

If you are ready to bring your data engineering expertise to a world‑class entertainment brand and help shape the future of digital experiences, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for arenaflex.

Apply Now – Join arenaflex Today!

Closing Statement

arenaflex is committed to building a workforce that reflects the global audience we serve. We encourage candidates of all backgrounds to apply. Your unique perspective could be the key to unlocking the next generation of magical experiences. Take the next step in your career and become part of a team that turns data into wonder.