Senior Data Engineer – Cloud Data Platform Development, Lakehouse Architecture & Business Intelligence Solutions

About arenaflex

Welcome to arenaflex, where innovation meets imagination! We are a dynamic leader in entertainment technology, constantly pushing the boundaries of what's possible in digital experiences. Our Information Stages Group, operating within the arenaflex Diversion and ESPN Innovation (DEET) division, is at the forefront of transforming how hundreds of millions of consumers interact with our digital products and services.

We're not just building data systems – we're crafting the foundation for extraordinary user experiences that entertain, inform, and inspire millions worldwide. Our team thrives on tackling complex technical challenges and turning them into elegant, scalable solutions that power the future of digital entertainment.

The Opportunity

Are you passionate about data engineering and eager to make a significant impact? Join arenaflex as a Senior Data Engineer and become part of our Product Execution and Instrumentation Group. This is your chance to work with cutting-edge technologies, collaborate with brilliant minds, and help build the data infrastructure that powers world-class digital experiences.

In this role, you'll be instrumental in engineering, designing, and building our Data Products and Data Pipelines. You'll work with Scala and Python/Flash while maintaining uptime SLAs that our stakeholders depend on. Your expertise will help us implement Lakehouse architecture, working with key partners to transition towards a data-platform-driven future.

What You'll Do

As a Senior Data Engineer at arenaflex, you'll be at the heart of our data operations, responsible for transforming raw data into actionable business insights. Here's what your journey will entail:

• Architect and Build Data Solutions: Design and develop scalable solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) that handle massive volumes of data with efficiency and reliability.


• Lakehouse Implementation: Lead the implementation of Lakehouse architecture, collaborating with key partners to establish a modern, unified data platform that combines the best of data warehousing and data lakes.


• Pipeline Development: Write and maintain robust data pipelines using Python, Scala, and Databricks, ensuring data flows seamlessly from source to consumption.


• Cross-Functional Collaboration: Partner with Data Product Managers, Data Architects, and Data Scientists to design, implement, and deliver successful data solutions that meet business objectives.


• Documentation Excellence: Maintain detailed documentation of your work and changes to support data quality, governance, and knowledge transfer across the organization.


• Operational Excellence: Ensure high operational efficiency and quality of your solutions to meet SLAs and support our commitment to internal clients (Data Science, Data Analysis teams).


• Agile Participation: Be an active member and advocate of agile/scrum practices to ensure health and process improvements for your team.


• Problem Solving: Be a problem solver; when given new challenges, research and collaborate to find innovative solutions.


• Process Optimization: Search out answers to business problems and seek opportunities to automate processes and optimize costs.


• Client Engagement: Engage with and understand our clients, forming relationships that allow us to understand and prioritize both creative new offerings and continuous platform enhancements.

Our Tech Stack

At arenaflex, we believe in using the best tools for the job. Our technology ecosystem includes:

• Cloud Platforms: AWS (S3, EMR, EC2)


• Data Platforms: Snowflake, Databricks, Delta Lake


• Stream Processing: Kafka (Wind stream)


• Processing Frameworks: Spark, PySpark


• Programming Languages: Scala, Python, SQL, Java

What We're Looking For

Essential Qualifications

• Educational Background: Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent work experience


• Strong Algorithmic Thinking: Excellent problem-solving skills with the ability to break down complex problems into manageable components


• SQL Expertise: Strong SQL skills with the ability to write queries to extract data and build performant datasets


• Distributed Systems Experience: Hands-on experience with distributed systems such as Spark and PySpark to query and process data at scale


• Programming Proficiency: Strong working knowledge of Scala and/or Python programming


• Cloud Experience: Strong hands-on experience with Cloud technologies, specifically AWS


• Database Experience: Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, or BigQuery preferred)


• Data Integration: Strong experience with data integration toolsets (Kafka) and writing and maintaining Data Pipelines with Databricks


• Data Modeling: Experience in Data Modeling techniques and Data Warehousing standard approaches and practices


• Agile Methodology: Familiarity with Scrum and Agile approaches


• Communication Skills: Demonstrated excellent communication and interpersonal skills, including the ability to work with others and build consensus in a cross-functional team toward optimal outcomes

Preferred Qualifications

• Advanced degree in Computer Science, Data Engineering, or related field


• Experience with real-time streaming data processing


• Knowledge of machine learning pipelines and MLOps


• Experience with data governance and quality frameworks


• Background in entertainment or media industry data platforms


• Experience with containerization technologies (Docker, Kubernetes)

Why Join arenaflex?

At arenaflex, we offer more than just a job – we offer a career destination where your talents can flourish. Here's what makes joining our team an exceptional opportunity:

• Competitive Compensation: Annual salary range of $35-$40/hour (position posted for US location)


• Comprehensive Benefits: Full-time position with comprehensive health, dental, and vision coverage


• Work-Life Balance: Standard 8-hour work schedules with flexibility


• Professional Growth: Extensive opportunities for career advancement and skill development


• Cutting-Edge Technology: Work with the latest tools and platforms in the data engineering space


• Innovative Culture: Be part of a team that values creativity, innovation, and bold thinking


• Impactful Work: Your contributions will directly influence how hundreds of millions of users experience our digital products


• Collaborative Environment: Work alongside talented professionals in a supportive, team-oriented atmosphere

Career Growth Path

As a Senior Data Engineer at arenaflex, you'll have clear pathways for advancement. Many of our senior engineers have progressed into leadership roles such as:

• Principal Data Engineer


• Data Engineering Manager


• Data Architect


• Technical Lead positions


• Director of Data Engineering

You'll also have access to continuous learning opportunities, including internal training programs, conferences, and certifications in emerging technologies.

Work Environment

Our team operates in a hybrid or remote-friendly environment, offering the flexibility to work effectively while maintaining strong collaboration. We believe in trust-based work arrangements that empower you to deliver excellence while balancing your personal life.

The work culture at arenaflex emphasizes innovation, diversity of thought, and continuous improvement. You'll find transparent communication, supportive leadership, and a commitment to technical excellence throughout the organization.

Join Our Team

If you're ready to take your data engineering career to the next level and make a meaningful impact in the entertainment technology space, we want to hear from you! This is an exciting opportunity to work with cutting-edge technology, solve complex problems, and be part of a team that's shaping the future of digital experiences.

Apply now and become part of the arenaflex family – where your data engineering skills can drive innovation and create magical experiences for millions of users worldwide. We're looking forward to welcoming a talented Senior Data Engineer who shares our passion for excellence and innovation!