Remote Data Engineer – Business Intelligence, Analytics & ETL Specialist – $28/hr – Full‑Time – arenaflex

About arenaflex – Shaping the Future of Digital Storytelling

arenaflex is a global leader in online video, community engagement, and digital media innovation. Our mission is to empower every voice to be heard, to inspire curiosity, and to connect people through shared stories. With a vibrant ecosystem that includes arenaflex, arenaflex Premium, and arenaflex TV, we serve billions of users worldwide and continuously push the boundaries of what’s possible in the digital age. As part of our Commercial Strategy & Operations team, you will help turn data into actionable insight, driving the strategic decisions that keep arenaflex at the forefront of the industry.

Why This Role Matters

In today’s data‑driven world, the ability to collect, transform, and analyze massive volumes of information is a competitive advantage. As a Remote Data Engineer on the arenaflex Commercial Strategy & Operations team, you will design and maintain the data pipelines that power business intelligence, analytics, and machine‑learning initiatives across the organization. Your work will directly influence product strategy, revenue growth, and operational efficiency, ensuring that arenaflex continues to deliver compelling experiences to creators and viewers alike.

Key Responsibilities

• Data Architecture & Modeling: Design, build, and optimize scalable data architectures, including relational databases, data warehouses, and data lakes, to support diverse analytics workloads.
• ETL Development: Create robust Extract‑Transform‑Load (ETL) pipelines using Python, SQL, and modern orchestration tools (e.g., Airflow, Prefect) to ingest and cleanse data from multiple sources.
• Collaboration with Stakeholders: Partner with business analysts, data scientists, and product managers to gather requirements, translate business needs into technical specifications, and deliver reliable data solutions.
• Data Quality & Governance: Implement data validation, monitoring, and governance frameworks to ensure data integrity, consistency, and compliance with internal standards.
• Performance Tuning: Optimize query performance, storage costs, and pipeline latency to meet SLAs for real‑time and batch analytics.
• Documentation & Knowledge Sharing: Produce clear documentation, run training sessions, and mentor junior engineers on best practices in data engineering.
• Innovation & Continuous Improvement: Stay abreast of emerging data technologies, propose proof‑of‑concepts, and drive adoption of modern data stack components.

Minimum Qualifications

• Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Physics) or equivalent practical experience.
• At least 5 years of hands‑on experience in data engineering, business intelligence, or analytics roles.
• Strong proficiency with relational databases, including writing complex SQL queries, schema design, and performance optimization.
• Demonstrated expertise in one or more programming languages such as Python, Java, or C++.
• Experience building and maintaining production‑grade ETL pipelines and data warehouses.

Preferred Qualifications

• Advanced degree (Master’s or PhD) in a quantitative field such as Computer Science, Statistics, or Engineering.
• Hands‑on experience with big‑data technologies (e.g., Snowflake, Redshift, BigQuery) and data lake solutions (e.g., AWS S3, Azure Data Lake).
• Familiarity with analytics platforms, reporting tools, and dashboarding solutions (e.g., Looker, Tableau, Power BI).
• Proven ability to thrive in ambiguous, fast‑changing environments while managing multiple stakeholder expectations.
• Exceptional analytical thinking with a track record of breaking down complex, multi‑dimensional problems into actionable solutions.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.

Core Skills & Competencies

• Technical Skills: SQL, Python, data modeling, ETL orchestration, cloud platforms (AWS, GCP, Azure), version control (Git), CI/CD pipelines.
• Analytical Mindset: Strong problem‑solving abilities, data‑driven decision making, and a keen eye for detail.
• Collaboration: Ability to work cross‑functionally with product, engineering, finance, and marketing teams.
• Adaptability: Comfortable navigating shifting priorities, evolving requirements, and rapid growth cycles.
• Leadership: Mentorship, knowledge sharing, and the capacity to influence data‑centric culture across the organization.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a member of our data engineering team, you will have access to:

• Annual learning stipend for conferences, certifications, and online courses.
• Mentorship programs pairing you with senior data architects and industry experts.
• Opportunities to work on high‑impact, cross‑functional projects that shape the future of digital media.
• Clear career pathways toward senior data engineer, data architect, and data leadership roles.

Work Environment & Culture at arenaflex

We believe that great ideas come from diverse perspectives. Our culture is built on inclusion, curiosity, and a relentless drive to innovate. As a fully remote position, you will enjoy:

• Flexible work hours that respect work‑life balance.
• A collaborative virtual workspace with regular team syncs, virtual coffee chats, and cross‑team hackathons.
• Access to state‑of‑the‑art hardware and software tools to support remote productivity.
• An inclusive environment where every voice is valued, and contributions are recognized.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate ranging from $22 to $30, commensurate with experience and expertise. In addition to base compensation, you will receive:

• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching.
• Generous paid time off, parental leave, and holidays.
• Wellness stipend, employee assistance program, and mental‑health resources.
• Technology allowance for home office setup.
• Opportunities for equity participation in arenaflex’s long‑term growth.

How to Apply

If you are passionate about turning raw data into strategic insight and want to make a tangible impact at a world‑leading digital platform, we want to hear from you. Please submit your resume, a cover letter highlighting your relevant experience, and any portfolio or project samples that demonstrate your data engineering expertise.

Apply Now – Join arenaflex!

Closing Statement

At arenaflex, we are on a mission to empower creators, inspire audiences, and shape the future of online video. By joining our Commercial Strategy & Operations team, you will be at the heart of data‑driven decision making, helping us deliver unforgettable experiences to billions of users worldwide. Take the next step in your career and become part of a dynamic, inclusive, and forward‑thinking organization. Apply today and help us build the next chapter of digital storytelling.