Remote Data Engineer – Data Entry & ETL Specialist – Full‑Time, $27/hr – arenaflex

About arenaflex – Pioneering Data‑Driven Experiences

arenaflex is a global leader in entertainment, media, and immersive experiences, delivering unforgettable moments to millions of guests each year. With a portfolio that spans theme parks, streaming platforms, sports broadcasting, and interactive storytelling, arenaflex relies on cutting‑edge data science to shape strategic decisions, enhance guest satisfaction, and drive operational excellence. As part of its ongoing digital transformation, arenaflex is expanding its Data Engineering team to support a growing ecosystem of data‑intensive products and services. This remote, full‑time role offers a unique opportunity to work at the intersection of data, technology, and creativity while contributing to a brand that is synonymous with imagination and innovation.

Position Overview – Remote Data Engineer (Data Entry & ETL)

arenaflex is seeking a highly motivated Data Engineer to join the Data Engineering (DE) group within the Data Science & Innovation (DSI) organization. The role focuses on designing, building, and maintaining robust data pipelines, ensuring data quality, and supporting analytics initiatives that power media, content, and guest‑experience platforms. This position is fully remote, offering flexibility and a collaborative environment that values continuous learning and cross‑functional partnership.

Key Responsibilities

• Gather and translate business requirements into detailed data models, source‑to‑target mappings, and ETL/ELT specifications.
• Design, develop, and monitor scalable ETL/ELT pipelines using SQL (Snowflake, PostgreSQL), Python, and orchestration tools.
• Implement data validation, profiling, and auditing processes to guarantee data integrity across multiple environments (Dev, QA, Prod).
• Collaborate with Data Science, Product, and Innovation teams to deliver clean, well‑documented datasets for predictive models and reporting dashboards.
• Maintain and enhance data ingestion frameworks, including automated job schedulers and CI/CD pipelines using GitLab/GitHub and Docker.
• Support cloud‑based data platforms (AWS, Snowflake, Databricks) and contribute to architecture discussions around scalability and performance.
• Participate in code reviews, knowledge‑sharing sessions, and documentation efforts to foster a culture of best practices.
• Monitor production pipelines, troubleshoot issues, and implement proactive alerts to minimize downtime.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline.
• Minimum 2 years of hands‑on experience building and supporting ELT/ETL pipelines in a production environment.
• Proficiency in SQL (preferably Snowflake) and Python for data manipulation and automation.
• Experience with version control systems such as GitLab or GitHub, including branching strategies and pull‑request workflows.
• Solid understanding of relational database design, data modeling, and data warehousing concepts.
• Familiarity with containerization (Docker) and the ability to develop and deploy services in isolated environments.
• Strong analytical mindset with the ability to translate ambiguous business needs into concrete technical solutions.

Preferred Qualifications & Differentiators

• Hands‑on experience with large‑scale cloud data platforms such as Snowflake, Databricks, or similar.
• Knowledge of cloud infrastructure services, especially AWS (S3, Redshift, Lambda, Glue).
• Background in building automated data pipelines using orchestration tools like Airflow or Prefect.
• Exposure to data‑centric product development cycles and agile methodologies.
• Experience working with big data technologies (Spark, Hadoop) and handling multi‑terabyte datasets.
• Demonstrated ability to mentor junior engineers and contribute to a culture of continuous improvement.

Core Skills & Competencies

• Technical Acumen: Deep expertise in SQL, Python, and data pipeline architecture.
• Problem Solving: Ability to diagnose complex data issues quickly and propose scalable solutions.
• Collaboration: Strong communication skills for partnering with cross‑functional teams across the globe.
• Attention to Detail: Commitment to data quality, documentation, and reproducibility.
• Adaptability: Comfort working in a fast‑paced, evolving environment with shifting priorities.
• Learning Mindset: Eagerness to stay current with emerging data technologies and industry best practices.

Career Growth & Learning Opportunities

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

• Mentorship programs with senior data scientists and architects.
• Sponsored certifications (e.g., Snowflake, AWS, Google Cloud) and tuition reimbursement for advanced degrees.
• Internal hackathons and innovation labs where you can prototype new data products.
• Opportunities to rotate across business units—media streaming, theme‑park operations, and sports broadcasting—to broaden your domain expertise.
• Clear career pathways from Engineer I to Lead Data Engineer, and eventually to Data Architecture or Analytics Management roles.

Work Environment & Culture at arenaflex

arenaflex fosters an inclusive, collaborative, and forward‑thinking culture. Even though this role is remote, you will be part of a vibrant global community that values:

• Flexibility: Choose your work hours within the 8‑hour core window to balance personal commitments.
• Innovation: Regular “Idea Days” where employees pitch data‑driven projects directly to senior leadership.
• Diversity & Inclusion: Employee resource groups, mentorship circles, and a commitment to equitable hiring practices.
• Well‑being: Comprehensive mental‑health resources, virtual fitness classes, and a generous paid‑time‑off policy.
• Recognition: Quarterly awards for technical excellence, teamwork, and community impact.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $27 per hour, commensurate with experience and market benchmarks. In addition to base compensation, you will receive:

• Health, dental, and vision insurance with multiple plan options.
• Retirement savings plan with company matching contributions.
• Paid parental leave, family leave, and flexible vacation policy.
• Technology stipend for home office setup (monitor, ergonomic chair, accessories).
• Employee assistance program, wellness apps, and virtual social events.
• Opportunities for performance‑based bonuses and stock‑grant participation.

How to Apply

If you are passionate about turning raw data into actionable insights, thrive in a remote, collaborative setting, and want to contribute to a world‑class entertainment brand, 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 Now – Join arenaflex’s Data Engineering Team!

Closing Statement

arenaflex believes that great data is the foundation of unforgettable experiences. By joining our Data Engineering team, you will play a pivotal role in shaping the future of entertainment, sports, and storytelling for audiences worldwide. Take the next step in your career—apply today and become part of a dynamic, data‑driven community that celebrates creativity, curiosity, and continuous growth.