Senior Data Engineer – Cloud ETL/ELT Pipeline & Data Architecture (Remote, $30/Hour)
About arenaflex
arenaflex is a forward-thinking, innovation-driven organization that thrives at the intersection of storytelling, technology, and data excellence. As a leader in the media, entertainment, and digital experiences industry, arenaflex creates magical moments for millions of customers around the globe by combining world-class creativity with cutting-edge engineering. Our Studios and Enterprise Technology teams are the backbone of the immersive experiences we deliver, and every decision we make is powered by data.
We are currently expanding our Information Designing group, which operates within our Data, Digital, and Strategic Initiatives (DDSI) division, and we are searching for a seasoned Senior Data Engineer who can architect robust data solutions while working remotely from anywhere in the United States. This is a unique opportunity to join a team where your engineering expertise directly fuels the storytelling magic that audiences have come to love, all from the comfort of your home.
Position Overview
We are hiring a Senior Data Engineer to design, build, and maintain enterprise-scale data pipelines and database architectures that power critical business functions across arenaflex. In this role, you will be responsible for designing and executing ETL/ELT data pipelines, architecting database schemas, tables, and views, and building sophisticated batch processes using Apache Airflow for multiple high-impact projects.
The ideal candidate is a detail-oriented engineer with a passion for data integrity, cloud-based architecture, and scalable systems. You will collaborate closely with our Studios and Enterprise Technology colleagues, engaging in activities ranging from requirements gathering to deployment across DEV, QA/UAT, and Production environments. If you are someone who thrives in a remote-first culture and wants to make a measurable impact through data engineering, this role at arenaflex is designed for you.
Key Responsibilities
- Design, develop, and maintain end-to-end ETL/ELT data pipelines that ingest, transform, and load data from diverse source systems into cloud-based data warehouses and lakes.
- Architect and implement database schemas, tables, views, and stored procedures to support analytical and operational workloads.
- Build, schedule, and monitor batch processes using Apache Airflow to ensure timely and accurate data delivery across the organization.
- Collaborate with cross-functional partners, including Studios and Enterprise Technology teams, to gather and refine data requirements.
- Develop and execute data validation scripts to ensure quality, accuracy, and consistency of all data assets.
- Deploy and maintain data solutions across multiple environments including DEV, QA/UAT, and Production.
- Lead the adoption of best practices in data engineering, software development lifecycle, and DevOps methodologies.
- Work with large datasets and big data technologies, preferably cloud-based platforms such as Snowflake, Databricks, or equivalent.
- Manage version control, CI/CD pipelines, and containerization using GitLab and Docker.
- Optimize query performance, troubleshoot data issues, and provide mentorship to junior engineers as needed.
- Document technical designs, data flow diagrams, and operational runbooks for ongoing maintainability.
Essential Qualifications and Experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.
- Minimum 3+ years of professional experience in a Data Engineering role.
- At least 2+ years of hands-on experience with SQL, including complex queries, stored procedures, and performance tuning.
- 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines in production environments.
- 2+ years of experience working with cloud-based technologies, preferably AWS and S3.
- 2+ years of experience working on a cloud platform (AWS, Azure, or GCP).
- 2+ years of experience with data lakes, data warehouses, and application databases.
- 2+ years of experience designing and building relational databases.
- 2+ years of experience with GitLab or GitHub for version control and collaboration.
- 2+ years of experience using Docker for containerization.
- Hands-on experience with Apache Airflow and Databricks.
- Proficiency in SQL, Python, GitLab, Airflow, AWS S3, and relational databases.
- Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar platforms.
Preferred Qualifications That Will Set You Apart
- Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Advanced experience with Airflow, GitLab, Snowflake, and Looker.
- Industry experience in streaming, media, or digital advertising sectors.
- Familiarity with modern data observability and data quality frameworks.
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
- Strong understanding of data governance, security, and compliance best practices.
Core Skills and Competencies
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and collaboration abilities for working across distributed teams.
- Self-motivated and disciplined, with a proven ability to thrive in a remote work environment.
- Passion for building scalable, reliable, and maintainable data systems.
- Adaptability to learn and integrate new tools, frameworks, and technologies quickly.
- Strong sense of ownership and accountability for deliverables.
Career Growth and Learning Opportunities at arenaflex
At arenaflex, we believe that great engineers never stop learning. As a Senior Data Engineer, you will have access to a robust professional development ecosystem that includes:
- Mentorship programs pairing you with senior architects and engineering leaders.
- Sponsored certifications in AWS, Snowflake, Airflow, and other cutting-edge platforms.
- Internal tech talks, hackathons, and innovation challenges.
- Defined career progression paths into roles such as Principal Data Engineer, Data Engineering Manager, or Solutions Architect.
- Cross-functional exposure to Studios, Enterprise Technology, and Strategic Initiatives teams.
Work Environment and Company Culture
arenaflex is proud to offer a remote-first work environment that prioritizes flexibility, trust, and outcomes over hours logged. Our culture is built on collaboration, creativity, and a shared commitment to excellence. Team members enjoy:
- Fully remote work arrangements with the option to collaborate at regional hubs when desired.
- A diverse, inclusive, and welcoming workforce that values every perspective.
- Quarterly virtual team-building events and annual in-person company gatherings.
- A culture that celebrates both individual achievements and collective success.
- Access to the storytelling and creative heritage that has made arenaflex a global icon in entertainment.
Compensation, Perks, and Benefits
- Competitive hourly rate of $30/hour with opportunities for performance-based reviews.
- Full-time employment with a standard 8-hour workday and flexible scheduling.
- Comprehensive medical, dental, and vision insurance plans.
- Generous paid time off, holidays, and family leave policies.
- 401(k) retirement plan with company matching contributions.
- Home office stipend to support your remote work setup.
- Wellness programs, mental health resources, and employee assistance plans.
- Tuition reimbursement and continuous learning stipends.
How to Apply
If you are a passionate data engineer ready to make an impact at a company where innovation meets storytelling, arenaflex wants to hear from you. Bring your technical expertise, your curiosity, and your drive to build world-class data systems. Join a team where your work powers the experiences of millions—and do it all from the comfort of your home.