Remote Data Engineering & Analytics Specialist – Advanced Data Architecture, ETL & Business Intelligence – $28/hr (Fully Remote) at arenaflex

About arenaflex – Shaping the Future of Digital Storytelling

arenaflex is a global leader in online video, community engagement, and digital media innovation. With a mission to give every voice a platform, arenaflex empowers creators, advertisers, and viewers to connect, learn, and inspire one another across a vibrant ecosystem of products—including arenaflex, arenaflex Premium, and arenaflex TV. Our culture blends cutting‑edge technology with boundless creativity, and we are relentless in solving real‑world problems at the intersection of media, data, and user experience. As we continue to expand our data‑driven capabilities, we are looking for a seasoned Data Engineering professional to join our Commercial Strategy & Operations team and help turn raw data into actionable insight for the entire organization.

Why This Role Matters

The Commercial Strategy & Operations team at arenaflex drives cross‑functional initiatives that power revenue growth, operational efficiency, and strategic decision‑making. As a Remote Data Engineering & Analytics Specialist, you will be at the heart of this effort—designing robust data architectures, building scalable ETL pipelines, and partnering with analysts and data scientists to deliver reliable, high‑quality data products that inform product launches, advertising strategies, and market expansion plans.

Key Responsibilities

• Requirement Gathering & Scoping: Conduct discovery workshops with business stakeholders, product owners, and senior leadership to translate business needs into precise data requirements.
• Data Architecture Design: Architect, implement, and continuously refine data models, schemas, and storage solutions that support both transactional and analytical workloads.
• ETL Development & Optimization: Build end‑to‑end extract, transform, and load pipelines using industry‑standard tools (e.g., Apache Airflow, dbt, Spark) to ensure data is clean, timely, and ready for consumption.
• Collaboration with Analysts & Scientists: Partner closely with Business Intelligence analysts, data scientists, and machine‑learning engineers to productionize analytical models, dashboards, and reporting solutions.
• Data Quality & Governance: Enforce best practices for data reliability, integrity, and governance, establishing monitoring, alerting, and documentation standards.
• Performance Tuning & Scaling: Optimize query performance, storage costs, and pipeline throughput to support growing data volumes and real‑time analytics needs.
• Community & Knowledge Sharing: Lead internal training sessions, mentor junior engineers, and champion data‑driven culture across the organization.
• Continuous Improvement: Identify opportunities for automation, process simplification, and technology upgrades to keep arenaflex at the forefront of data innovation.

Minimum Qualifications

• Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Physics, Statistics) or equivalent practical experience.
• At least 5 years of hands‑on experience in data engineering, business intelligence, or analytics engineering roles.
• Proficiency with relational databases (SQL Server, PostgreSQL, MySQL, Oracle) including complex query writing, schema design, and performance tuning.
• Strong programming skills in one or more languages such as Python, Java, or C++.
• Demonstrated ability to build and maintain production‑grade ETL pipelines and data warehouses.

Preferred Qualifications

• Master’s degree or advanced coursework in Computer Science, Data Engineering, Statistics, or a related field.
• Experience with modern data platforms—data lakes (e.g., Amazon S3, Azure Data Lake), columnar stores (e.g., Snowflake, Redshift, BigQuery), and streaming technologies (e.g., Kafka, Kinesis).
• Track record of thriving in ambiguous, fast‑changing environments with multiple cross‑functional stakeholders.
• Exceptional analytical and problem‑solving abilities, capable of breaking down complex, multi‑dimensional challenges into actionable steps.
• Outstanding communication, organizational, and interpersonal skills, with a proven ability to influence technical and non‑technical audiences.

Core Skills & Competencies

• Data Modeling: Conceptual, logical, and physical data modeling techniques for OLTP and OLAP systems.
• ETL Tools & Frameworks: Hands‑on experience with Apache Airflow, dbt, Talend, or similar orchestration platforms.
• Programming & Scripting: Advanced Python (pandas, SQLAlchemy), Java, or C++ for data manipulation and automation.
• Cloud Services: Familiarity with AWS, Google Cloud Platform, or Azure data services (e.g., Glue, Dataflow, Synapse).
• Data Governance: Knowledge of data lineage, cataloging, security, and compliance standards (e.g., GDPR, CCPA).
• Collaboration Tools: Proficiency with Git, Jira, Confluence, and agile development methodologies.
• Analytical Mindset: Ability to translate business questions into data solutions and interpret results for strategic impact.

Career Growth & Learning Opportunities

arenaflex invests heavily in employee development. In this role, you will have access to:

• Mentorship from senior data architects and industry thought leaders.
• Annual learning stipend for conferences, certifications, and online courses (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
• Opportunities to lead high‑visibility projects that directly influence product roadmaps and revenue strategies.
• Cross‑departmental rotations to broaden exposure to product, advertising, and content‑creation teams.
• Participation in internal hackathons and innovation labs focused on emerging technologies such as AI‑driven recommendation engines and real‑time analytics.

Compensation, Perks & Benefits

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

• Flexible remote work arrangement—work from anywhere in the United States.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• 401(k) plan with company match and financial wellness resources.
• Generous paid time off, holidays, and parental leave.
• Employee assistance program, mental‑health resources, and wellness stipends.
• Technology allowance for home office setup (monitor, ergonomic chair, high‑speed internet).
• Recognition programs, quarterly bonuses, and performance‑based incentives.

Culture & Work Environment at arenaflex

At arenaflex, we celebrate diversity of thought, background, and experience. Our culture is built on:

• Collaboration: Cross‑functional teams work together in a transparent, inclusive manner.
• Innovation: We encourage experimentation, rapid prototyping, and learning from failure.
• Impact: Every employee’s work directly contributes to empowering creators and connecting audiences worldwide.
• Community: Employee resource groups, virtual coffee chats, and mentorship circles foster belonging.
• Integrity: Ethical data handling and respect for user privacy are non‑negotiable pillars of our operations.

How to Apply

If you are passionate about turning raw data into strategic insight, thrive in a fast‑paced, globally distributed environment, and want to make a tangible impact on the future of digital media, we want to hear from you. Submit your resume, a concise cover letter highlighting your most relevant projects, and any portfolio or GitHub links that showcase your data engineering work.

Apply Now – Join arenaflex!

Closing Statement

arenaflex is committed to building a workforce that reflects the audiences we serve. We welcome applicants of all backgrounds and encourage individuals who are eager to learn, collaborate, and innovate to apply. Take the next step in your career and help us shape the stories of tomorrow—one data pipeline at a time.