Remote Data Engineer – Data Pipeline & ETL Specialist – Full‑Time – $27/hr – Work‑From‑Home at arenaflex

About arenaflex – Pioneering Entertainment Data Solutions

arenaflex is a global leader in immersive entertainment, theme‑park experiences, and digital media content. With a portfolio that spans world‑renowned resorts, streaming platforms, and live‑event productions, arenaflex leverages data‑driven insights to create magical moments for millions of guests every day. Our Data Science & Innovation (DSI) division partners with product, engineering, and business teams to unlock new revenue streams, enhance guest experiences, and drive operational excellence across all of arenaflex’s brands.

As part of our commitment to a flexible, inclusive, and forward‑thinking workplace, arenaflex offers fully remote opportunities that empower talented professionals to contribute from anywhere in the world while enjoying a competitive hourly rate of $27. If you thrive on building robust data pipelines, love solving complex ETL challenges, and want to see your work directly influence the magic that arenaflex delivers, this role is for you.

Role Overview – Data Engineer (Remote)

The arenaflex Data Engineering team is seeking a highly motivated Data Engineer to design, develop, and maintain data pipelines that power analytics, machine‑learning models, and business intelligence across the organization. You will collaborate with data scientists, product managers, and software engineers to ensure data is reliable, secure, and readily available for decision‑making.

Key Responsibilities

• Gather and translate business requirements into technical specifications for data ingestion, transformation, and storage.
• Design, build, and monitor end‑to‑end ETL/ELT pipelines using SQL (Snowflake, PostgreSQL) and Python.
• Develop and maintain data models, schema designs, and data‑quality frameworks that support analytics and reporting.
• Implement robust data‑validation and reconciliation processes to ensure accuracy and consistency across source‑to‑target flows.
• Collaborate with cross‑functional teams to integrate data from diverse systems, including cloud‑based platforms, on‑premise databases, and third‑party APIs.
• Automate workflow orchestration using tools such as Airflow, Prefect, or similar schedulers.
• Maintain version control and CI/CD pipelines using GitLab/GitHub and Docker containers to enable reproducible environments.
• Participate in code reviews, performance tuning, and troubleshooting to continuously improve pipeline efficiency.
• Document data lineage, architecture diagrams, and operational runbooks for knowledge sharing and compliance.
• Stay current with emerging data‑engineering technologies and propose innovative solutions that align with arenaflex’s strategic goals.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
• Minimum 2 years of hands‑on experience building and supporting ELT/ETL pipelines in a production environment.
• Proficiency in Python for data manipulation, scripting, and automation.
• Strong SQL skills, preferably with Snowflake and PostgreSQL, including query optimization and schema design.
• Experience working in multi‑environment setups (development, QA, staging, production) and implementing DevOps best practices for data engineering.
• Familiarity with containerization technologies such as Docker and orchestration platforms like Kubernetes.
• Solid understanding of relational database design, data warehousing concepts, and data‑modeling techniques.

Preferred Qualifications & Differentiators

• Hands‑on experience with large‑scale cloud data platforms (e.g., Snowflake, Databricks, BigQuery).
• Knowledge of cloud infrastructure services, especially AWS (S3, Redshift, Lambda, Glue).
• Experience managing source‑code repositories and CI/CD pipelines using GitLab or GitHub.
• Exposure to workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.
• Background in building data products that support machine‑learning pipelines or advanced analytics.
• Strong communication skills with the ability to convey technical concepts to non‑technical stakeholders.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex data problems and devise elegant, scalable solutions.
• Collaboration: Proven track record of working effectively within cross‑functional, remote teams.
• Attention to Detail: Commitment to data quality, security, and compliance standards.
• Adaptability: Comfortable navigating fast‑changing priorities and emerging technologies.
• Self‑Management: Strong organizational skills to thrive in a remote, results‑oriented environment.

Tools & Technologies You’ll Use

• SQL (Snowflake, PostgreSQL)
• Python (pandas, SQLAlchemy, dbt)
• Docker & Kubernetes
• GitLab / GitHub for version control
• Airflow, Prefect, or similar orchestration tools
• AWS services (S3, Redshift, Lambda, Glue)
• Data visualization platforms (Looker, Tableau) for downstream consumption

Career Growth & Learning Opportunities

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

• Mentorship programs with senior data architects and industry experts.
• Annual learning stipend for certifications, conferences, or online courses (e.g., AWS Certified Data Analytics, Snowflake SnowPro).
• Opportunities to transition into senior data‑engineering roles, data‑science leadership, or product‑focused analytics positions.
• Cross‑departmental projects that expose you to the full spectrum of arenaflex’s entertainment ecosystem—from theme‑park operations to streaming content analytics.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, flexibility, and a shared passion for storytelling through data. arenaflex fosters an inclusive environment where diverse perspectives are celebrated, and every team member is empowered to bring their authentic self to work. Key cultural pillars include:

• Innovation: We encourage experimentation and reward creative problem‑solving.
• Collaboration: Regular virtual coffee chats, team‑wide retrospectives, and cross‑functional hackathons keep us connected.
• Well‑Being: Comprehensive mental‑health resources, flexible scheduling, and a generous PTO policy support work‑life balance.
• Community Impact: Employees can volunteer for arenaflex’s global outreach programs, contributing data expertise to charitable initiatives.

Compensation, Perks & Benefits

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

• Health, dental, and vision insurance with multiple plan options.
• 401(k) matching and financial wellness programs.
• Paid parental leave and family‑care assistance.
• Remote‑work stipend for home‑office equipment and high‑speed internet.
• Annual performance bonuses tied to individual and company milestones.
• Access to a global library of learning resources, including Coursera, Pluralsight, and internal training modules.

How to Apply

If you are ready to harness the power of data to shape unforgettable experiences and drive strategic decisions at arenaflex, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant data‑engineering achievements.

Apply Job!

Join arenaflex – Where Data Meets Magic

At arenaflex, data isn’t just numbers—it’s the foundation of the stories we tell, the experiences we craft, and the innovations we pioneer. By joining our Data Engineering team, you become a catalyst for transformation, turning raw information into actionable insights that delight guests worldwide. Take the next step in your career and become part of a vibrant, forward‑thinking community that values curiosity, collaboration, and creativity.

We look forward to welcoming you to the arenaflex family!