Senior Data Engineer – Remote (Work‑From‑Home) – Scalable Data Platforms, Real‑Time Analytics & AI Enablement at arenaflex

About arenaflex

arenaflex is a global leader in entertainment streaming, serving more than 270 million paid subscribers across over 190 countries. With a portfolio that spans a wide array of devices—from smart TVs and mobile phones to gaming consoles and web browsers—arenaflex continuously pushes the boundaries of what is possible in digital media. At the heart of this innovation is a relentless focus on data‑driven decision making. By turning raw data into actionable insights, arenaflex delivers a personalized, seamless viewing experience that keeps audiences engaged and delighted.

Our Data & Analytics organization is the engine that powers this transformation. The team builds robust, low‑latency data pipelines, designs sophisticated data products, and supports cutting‑edge AI models that drive recommendation engines, content discovery, and operational efficiencies. As a Senior Data Engineer, you will join a high‑performing, collaborative group that values curiosity, technical excellence, and a relentless drive to solve complex problems at scale.

Why This Role Matters

In today’s hyper‑connected world, the ability to process massive volumes of data in real time is a competitive advantage. At arenaflex, the data you help build and maintain will directly influence the experiences of millions of viewers worldwide. From optimizing streaming quality to personalizing content recommendations, your work will have a tangible impact on both the business and the end‑user. This is an opportunity to shape the future of entertainment technology while advancing your own career in a supportive, forward‑thinking environment.

Key Responsibilities

• Design, develop, and maintain highly scalable, low‑latency data pipelines that ingest, transform, and store petabyte‑scale datasets from a variety of sources, including clickstream logs, content metadata, and user interaction events.
• Collaborate closely with product managers, data scientists, and software engineers to translate business requirements into robust data solutions that enable real‑time analytics and machine‑learning model training.
• Implement and optimize streaming data processing frameworks such as Apache Flink, Apache Spark Structured Streaming, and Kafka Streams to ensure reliable, fault‑tolerant data flow.
• Build and manage both batch and streaming data storage solutions, including data lakes on cloud object storage, columnar warehouses (e.g., Snowflake, Redshift), and NoSQL databases (e.g., Cassandra, DynamoDB).
• Develop and expose well‑documented APIs and services (REST, gRPC) that allow downstream teams to access curated data products efficiently and securely.
• Ensure data quality, consistency, and observability by implementing comprehensive monitoring, alerting, and logging strategies using tools such as Prometheus, Grafana, and OpenTelemetry.
• Participate in on‑call rotations and incident response for 24/7 production systems, proactively identifying and resolving performance bottlenecks, latency spikes, and data integrity issues.
• Mentor junior engineers, conduct code reviews, and champion best practices in software engineering, data modeling, and DevOps automation.
• Stay current with emerging technologies, industry trends, and best practices, and evaluate their applicability to enhance arenaflex’s data architecture.
• Contribute to the continuous improvement of the team’s development workflow, including CI/CD pipelines, automated testing, and infrastructure‑as‑code (IaC) practices.

Essential Qualifications

• 5+ years of professional experience designing, building, and operating large‑scale data platforms in a production environment.
• Strong proficiency in at least one JVM language (Java or Scala) and deep expertise in SQL (ANSI‑SQL, PostgreSQL, or equivalent).
• Hands‑on experience with distributed streaming frameworks (e.g., Apache Flink, Apache Spark Structured Streaming) and message brokers such as Apache Kafka.
• Demonstrated ability to build and maintain high‑throughput, low‑latency data pipelines that serve real‑time analytics and machine‑learning workloads.
• Solid understanding of data modeling concepts, including schema design for both relational and NoSQL databases.
• Experience designing and implementing RESTful and gRPC APIs, with familiarity in frameworks like Spring Boot, Dropwizard, or Micronaut.
• Proven track record of operating 24/7 production systems, including incident management, root‑cause analysis, and post‑mortem documentation.
• Strong problem‑solving skills, with the ability to think abstractly about system design while delivering concrete, production‑ready solutions.
• Excellent communication skills, capable of articulating complex technical concepts to both technical and non‑technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure) and associated services such as S3, Kinesis, Dataflow, or Azure Event Hubs.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for deploying data services at scale.
• Knowledge of infrastructure‑as‑code tools (Terraform, CloudFormation) and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
• Exposure to machine‑learning pipelines and model serving frameworks (TensorFlow Serving, MLflow, or similar).
• Contributions to open‑source projects or a strong presence in the data engineering community.
• Experience with data governance, security, and compliance standards (GDPR, CCPA, SOC 2).

Core Skills & Competencies

• Technical Excellence: Ability to write clean, maintainable, and performant code; strong debugging and profiling skills.
• Scalability Mindset: Design systems that gracefully handle growth in data volume, velocity, and variety.
• Observability Focus: Implement comprehensive logging, tracing, and metrics to ensure proactive issue detection.
• Collaboration: Work effectively within cross‑functional teams, fostering a culture of shared ownership and continuous feedback.
• Adaptability: Thrive in a fast‑moving environment with evolving requirements and ambiguous problem spaces.
• Ownership: Take end‑to‑end responsibility for the reliability, performance, and security of data services.
• Continuous Learning: Demonstrate curiosity and a commitment to staying ahead of industry advancements.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:

• Mentorship programs pairing you with senior architects and industry experts.
• Sponsored attendance at leading conferences such as Strata Data Conference, Kafka Summit, and AWS re:Invent.
• Internal technical talks, hackathons, and innovation labs that encourage experimentation.
• Clear career pathways toward Staff Engineer, Principal Engineer, or Data Platform Lead roles.
• Opportunities to lead cross‑functional initiatives that influence product strategy and company‑wide data governance.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, autonomy, and a shared commitment to excellence. Key aspects of our environment include:

• Flexibility: Choose your own work hours within a globally distributed team, with a focus on outcomes rather than clock‑watching.
• Collaboration Tools: State‑of‑the‑art communication platforms (Slack, Zoom, Confluence) that keep teams connected across time zones.
• Inclusive Culture: Diversity, equity, and inclusion are core to our values; we celebrate varied perspectives and backgrounds.
• Well‑Being Programs: Access to mental‑health resources, virtual fitness classes, and ergonomic home‑office stipends.
• Innovation‑Driven: A culture that encourages taking calculated risks, learning from failures, and iterating quickly.

Compensation, Benefits & Perks

arenaflex offers a competitive total rewards package that reflects the value you bring to the organization. While exact figures vary by location and experience, you can expect:

• Base salary aligned with market benchmarks for senior data engineering roles.
• Annual performance‑based bonuses and equity grants that align your success with the company’s growth.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• Generous paid time off, parental leave, and flexible holidays to support work‑life balance.
• Professional development budget for courses, certifications, and conference attendance.
• Remote‑work stipend covering home‑office equipment, high‑speed internet, and coworking space access.
• Employee assistance programs, wellness initiatives, and a vibrant virtual community.

How to Apply

If you are passionate about building data systems that power the next generation of entertainment experiences, we want to hear from you. To submit your application, please click the link below, upload your resume, and provide a brief cover letter outlining why you are the ideal fit for this role at arenaflex.

Apply Now – Join arenaflex’s Data Engineering Team!

Take the Next Step

At arenaflex, your work will be seen by millions, your ideas will shape the future of streaming, and your career will flourish in an environment that values curiosity, impact, and continuous growth. Don’t miss the chance to be part of a world‑class data engineering team that is redefining how entertainment is delivered globally. Apply today and start your journey with arenaflex!