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About Arenaflex
Welcome to arenaflex, where innovation meets imagination! We are a dynamic leader in entertainment technology and digital transformation, creating magical experiences that captivate audiences worldwide. Our commitment to excellence extends beyond storytelling—we're pioneers in data-driven decision making, leveraging cutting-edge technology to deliver extraordinary content and experiences to millions of customers across the globe.
At arenaflex, we believe that data is the foundation of every great story. Our Data Engineering team plays a critical role in transforming raw information into actionable insights that drive business strategy, enhance creative development, and optimize operational efficiency. Join our team of talented professionals who are passionate about leveraging data to create lasting impact in the entertainment industry and beyond.
We are currently seeking a highly skilled and motivated Senior Data Engineer to join our Information Design team on a fully remote basis. This is a fantastic opportunity to work with world-class technology infrastructure while contributing to projects that touch millions of lives every day. If you're ready to take your career to the next level and be part of something truly extraordinary, we want to hear from you!
Position Overview
As a Senior Data Engineer at arenaflex, you will be responsible for designing, building, and maintaining robust ETL/ELT data pipelines that power our enterprise data infrastructure. You will work closely with cross-functional teams including Studios, Product Innovation, and Business Intelligence to gather data requirements, develop data validation scripts, and ensure data quality across multiple environments.
This role offers the unique opportunity to work with a diverse technology stack including SQL, Python, Docker, GitLab, Apache Airflow, Snowflake, Looker, PostgreSQL, and AWS services. You'll be instrumental in developing scalable data solutions that support critical business functions across our organization.
Key Responsibilities
- Design and Execute ETL/ELT Data Pipelines: Architect and implement efficient, scalable data pipelines that move data between various sources and destinations while ensuring data integrity and optimal performance.
- Database Architecture and Development: Design and implement database schemas, tables, views, and indexes that support business requirements and enable efficient data retrieval.
- Workflow Automation: Build and maintain batch processing workflows using Apache Airflow to automate repetitive data operations and ensure timely data availability.
- Data Integration: Collaborate with Studios and Product Innovation teams to understand data requirements, develop integration strategies, and deliver data solutions that meet business needs.
- Data Validation and Quality: Create and execute data validation scripts, perform data quality checks, and implement monitoring solutions to identify and resolve data issues proactively.
- Cross-Environment Deployment: Manage deployments across development, QA/UAT, and production environments while maintaining proper change management practices.
- Cloud Infrastructure Management: Work with AWS S3 and other cloud-based services to build and maintain data lakes and data warehouses.
- Documentation and Best Practices: Lead the development and documentation of best practices for data engineering processes, coding standards, and architectural patterns.
- Mentorship and Leadership: Provide guidance and mentorship to junior team members and contribute to the continuous improvement of our data engineering practices.
- Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and database queries to ensure optimal system performance.
Essential Qualifications
- Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
- Minimum 2+ years of experience in a Data Engineering role
- 2+ years of experience with SQL, including advanced query optimization and database design
- 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
- 2+ years of experience with cloud platforms, preferably AWS
- 2+ years of experience working with data lakes, data warehouses, and application databases
- 2+ years of experience using GitLab/GitHub for version control and CI/CD
- 2+ years of experience with containerization using Docker
- Strong proficiency in Python for data processing and automation
- Experience with Apache Airflow for workflow orchestration
- Experience with Snowflake or similar cloud data warehouse platforms
- Strong understanding of relational and NoSQL database concepts
Preferred Qualifications
- Master's degree in Computer Science, Mathematics, Engineering, or a related field
- Experience with streaming data technologies and real-time data processing
- Experience in media, entertainment, or digital advertising industries
- Knowledge of Looker or other business intelligence tools
- Experience with Databricks for big data processing
- Familiarity with PostgreSQL and other open-source database systems
- Understanding of data modeling best practices (star schema, snowflake schema, etc.)
- Experience with API development and integration
Technical Skills and Competencies
Our ideal candidate possesses a strong technical foundation with hands-on experience in the following areas:
- Programming Languages: Python (required), SQL (required), with bonus points for Scala, Java, or R
- Cloud Platforms: AWS (S3, EC2, Lambda, Redshift), with familiarity in Azure or Google Cloud
- Data Warehousing: Snowflake, Amazon Redshift, or Google BigQuery
- Workflow Orchestration: Apache Airflow, Prefect, or Dagster
- Containerization: Docker, Kubernetes
- Version Control: GitLab, GitHub
- Databases: PostgreSQL, MySQL, NoSQL databases
- Big Data Technologies: Apache Spark, Databricks, Hadoop ecosystem
- BI Tools: Looker, Tableau, or Power BI
Beyond technical skills, we value candidates who demonstrate:
- Strong problem-solving abilities and a proactive approach to challenges
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders
- Attention to detail and commitment to data quality
- Ability to work independently and manage multiple priorities in a remote environment
- Collaborative mindset and willingness to share knowledge with team members
- Adaptability and enthusiasm for learning new technologies
Career Growth and Learning Opportunities
At arenaflex, we are committed to the professional development of our employees. As a Senior Data Engineer, you'll have access to:
- Career Advancement Paths: Clear progression routes to Lead Data Engineer, Principal Data Engineer, or Data Engineering Manager positions
- Continuous Learning: Access to online learning platforms, certifications, and technical training programs
- Cross-Functional Exposure: Opportunities to work with teams across Studios, Product Innovation, Marketing, and Operations
- Industry-Leading Projects: Work on high-impact projects that leverage cutting-edge technology
- Mentorship Programs: Both receive mentorship from senior leaders and mentor junior team members
- Conference Participation: Sponsorship to attend industry conferences, workshops, and tech talks
Work Environment and Culture
Our remote work culture is built on trust, flexibility, and results. We believe that great work happens when you're given the autonomy to design your own schedule while meeting your commitments. Here's what you can expect as part of the arenaflex family:
- Flexible Work Arrangements: Work from the comfort of your home office with flexible hours that support work-life balance
- Collaborative Culture: Regular virtual team meetings, cross-functional projects, and open communication channels
- Modern Tools: Access to state-of-the-art development tools, cloud environments, and collaboration platforms
- Inclusive Environment: A diverse and inclusive workplace where every voice matters
- Innovation Time: Opportunities to explore new technologies and contribute to innovation initiatives
- Team Connections: Virtual social events, team-building activities, and annual in-person gatherings
Compensation and Benefits
We recognize that our people are our greatest asset, and we offer competitive compensation and comprehensive benefits to support your well-being:
- Competitive Salary: Starting at $30/hour with opportunities for performance-based increases
- Health and Wellness: Comprehensive health insurance coverage including medical, dental, and vision
- Retirement Plans: 401(k) retirement savings plan with company matching
- Paid Time Off: Generous PTO policy with vacation, sick leave, and holidays
- Parental Leave: Paid parental leave for new parents
- Professional Development: Annual learning and development budget
- Home Office Setup: Stipend for home office equipment and ergonomic setup
- Wellness Programs: Access to mental health resources, fitness programs, and wellness apps
- Employee Assistance Program: 24/7 support for personal and professional challenges
Join the Magic
Are you ready to be part of something extraordinary? At arenaflex, you'll have the opportunity to work on meaningful projects that inspire joy and create lasting memories for millions of people around the world. Our team is passionate about leveraging data to tell stories, drive innovation, and deliver exceptional experiences.
We're looking for someone who shares our commitment to excellence and is excited about the possibility of contributing to our mission. If you're a detail-oriented professional with a passion for data engineering and a curiosity for learning, we encourage you to apply.
This is more than just a job—it's a chance to grow your career with a company that values innovation, collaboration, and the transformative power of data. Apply today and embark on an exciting journey with arenaflex!
To apply for this position, please submit your resume and cover letter through our application portal. We look forward to welcoming you to the arenaflex team!
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.