Experienced Senior Data Engineer – Cloud-Based ETL/ELT Pipeline Development & Data Architecture (Remote Position)
---
About arenaflex
Welcome to arenaflex, where innovation meets imagination! We are a dynamic leader in the entertainment and technology industry, committed to pushing the boundaries of what's possible through cutting-edge data solutions. Our mission is to transform raw data into actionable insights that drive business decisions and create magical experiences for millions of people worldwide.
At arenaflex, we believe that great data engineering is the foundation of exceptional user experiences. Join our team of talented professionals and become part of a culture that values creativity, collaboration, and continuous learning. Whether you're working on streaming platforms, digital content distribution, or innovative entertainment technologies, you'll have the opportunity to make a meaningful impact while growing your career in one of the most exciting industries in the world.
We are currently seeking a highly motivated and experienced Senior Data Engineer to join our Data & Analytics team. This is a remote position that offers the flexibility to work from the comfort of your home while contributing to groundbreaking projects that shape the future of digital entertainment.
Position Overview
As a Senior Data Engineer at arenaflex, you will play a critical role in designing, building, and maintaining our data infrastructure. You will be responsible for creating robust ETL/ELT data pipelines, designing and implementing database schemas, tables, and views, and orchestrating batch processes using Apache Airflow across multiple projects. This position requires a deep understanding of cloud-based data architectures and the ability to collaborate effectively with cross-functional teams.
You will work closely with our Studios and Product Innovation teams on various activities including data requirements gathering, data validation scripting and review, developing and testing ETL/ELT pipelines, designing and implementing database diagrams, and deploying solutions across multiple environments such as Development, QA/UAT, and Production.
Key Responsibilities
Pipeline Development: Design, build, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and frameworks
Database Architecture: Create and implement database schemas, tables, views, and relationships optimized for performance and analytics
Process Orchestration: Build and manage batch processing workflows using Apache Airflow for various projects and data domains
Cloud Infrastructure: Work with cloud-based technologies, primarily AWS, to build and maintain data lakes and data warehouses
Data Quality: Implement data validation and quality assurance processes to ensure data integrity across all pipelines
Collaboration: Partner with Studios and Product Innovation teams to understand data requirements and deliver solutions that meet business needs
Cross-Environment Deployment: Deploy and validate solutions across Development, QA/UAT, and Production environments
Best Practices: Drive best practices around data engineering software development processes, including code reviews, documentation, and testing
Performance Optimization: Monitor and optimize pipeline performance to ensure efficient processing of large datasets
Technology Evaluation: Evaluate and recommend new technologies and tools that can improve our data infrastructure
Required Qualifications & Skills
Educational Background
Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
Technical Experience
3+ years of experience in a Data Engineering role
2+ years of experience with SQL (writing complex queries, optimization, and performance tuning)
2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
2+ years of experience with cloud-based technologies, preferably AWS (including S3)
2+ years of experience managing a cloud platform
2+ years of experience working with data lakes, data warehouses, and application databases
2+ years of experience designing and building relational databases
2+ years of experience using Gitlab/Github for version control
2+ years of experience using Docker for containerization
Experience working with large datasets and big data technologies, preferably cloud-based (Snowflake, Databricks, or similar)
Technical Proficiency
Programming Languages: SQL, Python
Version Control: Gitlab/Github
Workflow Orchestration: Apache Airflow
Cloud Platforms: AWS S3 and related services
Databases: Relational databases (PostgreSQL, MySQL, etc.)
Data Warehousing: Snowflake
BI/Analytics: Looker (preferred)
Containerization: Docker
Preferred Qualifications
Master's degree in Computer Science, Mathematics, Engineering, or a related field
Experience with Apache Airflow, Snowflake, and Looker
Experience in streaming, media, or digital marketing domain
Experience with Apache Spark/Databricks
Knowledge of real-time data processing frameworks
Familiarity with machine learning data pipelines
Experience in the entertainment or media industry
What Sets You Apart
The ideal candidate will have a proven track record of delivering high-quality data solutions in fast-paced environments. You should be passionate about data engineering and committed to maintaining high standards of code quality and documentation. Strong problem-solving skills and the ability to think creatively about data challenges will help you succeed in this role.
Experience with streaming technologies, media platforms, or digital advertising will be highly valued as we continue to expand our digital entertainment offerings. If you've worked with large-scale data systems in the media or entertainment industry, we'd love to hear from you!
Career Growth & Learning Opportunities
At arenaflex, we invest in our employees' professional development. As a Senior Data Engineer, you'll have access to:
Continuous Learning: Comprehensive training programs, certifications, and workshops to enhance your technical skills
Career Advancement: Clear career paths with opportunities to grow into Lead Data Engineer, Data Architect, or Managerial positions
Cutting-Edge Projects: Exposure to the latest technologies and methodologies in data engineering
Mentorship: Mentorship from senior engineers and industry experts
Industry Events: Opportunities to attend conferences, webinars, and industry gatherings
Cross-Functional Experience: Exposure to different business units and data domains within the organization
Work Environment & Culture
Enjoy the best of both worlds with our remote work policy! As a Senior Data Engineer at arenaflex, you'll have the flexibility to work from home while staying connected with your team through collaboration tools and regular virtual meetings. We believe in work-life balance and trust our employees to manage their schedules effectively.
Our culture is built on collaboration, innovation, and inclusivity. You'll be joining a team of passionate professionals who are committed to excellence and are excited about the work they do. We celebrate diversity and believe that different perspectives make us stronger. Regular team-building activities, virtual social events, and open communication channels ensure that you feel connected and valued, no matter where you're working from.
Compensation & Benefits
We offer competitive compensation and a comprehensive benefits package to support your well-being:
Hourly Rate: $30/hour (commensurate with experience)
Health & Wellness: Comprehensive health insurance coverage including medical, dental, and vision
Retirement Plans: 401(k) retirement savings plan with company matching
Paid Time Off: Generous paid time off policy including vacation, sick leave, and holidays
Remote Work Stipend: Monthly allowance for home office expenses and internet connectivity
Professional Development: Annual budget for training, certifications, and professional growth
Employee Assistance Program: Access to resources for mental health, work-life support, and personal challenges
Parental Leave: Paid leave for new parents
Flexible Schedule: Core hours with flexibility to manage your workload
Why Join arenaflex?
Be part of a company that's transforming the entertainment industry through data-driven innovation. At arenaflex, you'll work on projects that impact millions of people worldwide. Whether it's optimizing streaming experiences, improving content recommendations, or enabling data-driven decision-making, your work will contribute to creating magical moments for audiences everywhere.
We value creativity, collaboration, and continuous improvement. When you join our team, you become part of a community that supports your growth and encourages you to push the boundaries of what's possible. Your ideas matter, and your contributions will be recognized and rewarded.
How to Apply
Ready to take the next step in your career? Join us in creating magic through data! Apply now and embark on an exciting journey with arenaflex from the comfort of your own home.
We encourage all qualified candidates to apply. arenaflex is an equal opportunity employer and values diversity in the workplace. We look forward to receiving your application!
Note: This is a full-time position with 8 hours of work per day. The hourly rate is $30/hour, commensurate with experience and qualifications.
About arenaflex
Welcome to arenaflex, where innovation meets imagination! We are a dynamic leader in the entertainment and technology industry, committed to pushing the boundaries of what's possible through cutting-edge data solutions. Our mission is to transform raw data into actionable insights that drive business decisions and create magical experiences for millions of people worldwide.
At arenaflex, we believe that great data engineering is the foundation of exceptional user experiences. Join our team of talented professionals and become part of a culture that values creativity, collaboration, and continuous learning. Whether you're working on streaming platforms, digital content distribution, or innovative entertainment technologies, you'll have the opportunity to make a meaningful impact while growing your career in one of the most exciting industries in the world.
We are currently seeking a highly motivated and experienced Senior Data Engineer to join our Data & Analytics team. This is a remote position that offers the flexibility to work from the comfort of your home while contributing to groundbreaking projects that shape the future of digital entertainment.
Position Overview
As a Senior Data Engineer at arenaflex, you will play a critical role in designing, building, and maintaining our data infrastructure. You will be responsible for creating robust ETL/ELT data pipelines, designing and implementing database schemas, tables, and views, and orchestrating batch processes using Apache Airflow across multiple projects. This position requires a deep understanding of cloud-based data architectures and the ability to collaborate effectively with cross-functional teams.
You will work closely with our Studios and Product Innovation teams on various activities including data requirements gathering, data validation scripting and review, developing and testing ETL/ELT pipelines, designing and implementing database diagrams, and deploying solutions across multiple environments such as Development, QA/UAT, and Production.
Key Responsibilities
Pipeline Development: Design, build, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and frameworks
Database Architecture: Create and implement database schemas, tables, views, and relationships optimized for performance and analytics
Process Orchestration: Build and manage batch processing workflows using Apache Airflow for various projects and data domains
Cloud Infrastructure: Work with cloud-based technologies, primarily AWS, to build and maintain data lakes and data warehouses
Data Quality: Implement data validation and quality assurance processes to ensure data integrity across all pipelines
Collaboration: Partner with Studios and Product Innovation teams to understand data requirements and deliver solutions that meet business needs
Cross-Environment Deployment: Deploy and validate solutions across Development, QA/UAT, and Production environments
Best Practices: Drive best practices around data engineering software development processes, including code reviews, documentation, and testing
Performance Optimization: Monitor and optimize pipeline performance to ensure efficient processing of large datasets
Technology Evaluation: Evaluate and recommend new technologies and tools that can improve our data infrastructure
Required Qualifications & Skills
Educational Background
Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
Technical Experience
3+ years of experience in a Data Engineering role
2+ years of experience with SQL (writing complex queries, optimization, and performance tuning)
2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
2+ years of experience with cloud-based technologies, preferably AWS (including S3)
2+ years of experience managing a cloud platform
2+ years of experience working with data lakes, data warehouses, and application databases
2+ years of experience designing and building relational databases
2+ years of experience using Gitlab/Github for version control
2+ years of experience using Docker for containerization
Experience working with large datasets and big data technologies, preferably cloud-based (Snowflake, Databricks, or similar)
Technical Proficiency
Programming Languages: SQL, Python
Version Control: Gitlab/Github
Workflow Orchestration: Apache Airflow
Cloud Platforms: AWS S3 and related services
Databases: Relational databases (PostgreSQL, MySQL, etc.)
Data Warehousing: Snowflake
BI/Analytics: Looker (preferred)
Containerization: Docker
Preferred Qualifications
Master's degree in Computer Science, Mathematics, Engineering, or a related field
Experience with Apache Airflow, Snowflake, and Looker
Experience in streaming, media, or digital marketing domain
Experience with Apache Spark/Databricks
Knowledge of real-time data processing frameworks
Familiarity with machine learning data pipelines
Experience in the entertainment or media industry
What Sets You Apart
The ideal candidate will have a proven track record of delivering high-quality data solutions in fast-paced environments. You should be passionate about data engineering and committed to maintaining high standards of code quality and documentation. Strong problem-solving skills and the ability to think creatively about data challenges will help you succeed in this role.
Experience with streaming technologies, media platforms, or digital advertising will be highly valued as we continue to expand our digital entertainment offerings. If you've worked with large-scale data systems in the media or entertainment industry, we'd love to hear from you!
Career Growth & Learning Opportunities
At arenaflex, we invest in our employees' professional development. As a Senior Data Engineer, you'll have access to:
Continuous Learning: Comprehensive training programs, certifications, and workshops to enhance your technical skills
Career Advancement: Clear career paths with opportunities to grow into Lead Data Engineer, Data Architect, or Managerial positions
Cutting-Edge Projects: Exposure to the latest technologies and methodologies in data engineering
Mentorship: Mentorship from senior engineers and industry experts
Industry Events: Opportunities to attend conferences, webinars, and industry gatherings
Cross-Functional Experience: Exposure to different business units and data domains within the organization
Work Environment & Culture
Enjoy the best of both worlds with our remote work policy! As a Senior Data Engineer at arenaflex, you'll have the flexibility to work from home while staying connected with your team through collaboration tools and regular virtual meetings. We believe in work-life balance and trust our employees to manage their schedules effectively.
Our culture is built on collaboration, innovation, and inclusivity. You'll be joining a team of passionate professionals who are committed to excellence and are excited about the work they do. We celebrate diversity and believe that different perspectives make us stronger. Regular team-building activities, virtual social events, and open communication channels ensure that you feel connected and valued, no matter where you're working from.
Compensation & Benefits
We offer competitive compensation and a comprehensive benefits package to support your well-being:
Hourly Rate: $30/hour (commensurate with experience)
Health & Wellness: Comprehensive health insurance coverage including medical, dental, and vision
Retirement Plans: 401(k) retirement savings plan with company matching
Paid Time Off: Generous paid time off policy including vacation, sick leave, and holidays
Remote Work Stipend: Monthly allowance for home office expenses and internet connectivity
Professional Development: Annual budget for training, certifications, and professional growth
Employee Assistance Program: Access to resources for mental health, work-life support, and personal challenges
Parental Leave: Paid leave for new parents
Flexible Schedule: Core hours with flexibility to manage your workload
Why Join arenaflex?
Be part of a company that's transforming the entertainment industry through data-driven innovation. At arenaflex, you'll work on projects that impact millions of people worldwide. Whether it's optimizing streaming experiences, improving content recommendations, or enabling data-driven decision-making, your work will contribute to creating magical moments for audiences everywhere.
We value creativity, collaboration, and continuous improvement. When you join our team, you become part of a community that supports your growth and encourages you to push the boundaries of what's possible. Your ideas matter, and your contributions will be recognized and rewarded.
How to Apply
Ready to take the next step in your career? Join us in creating magic through data! Apply now and embark on an exciting journey with arenaflex from the comfort of your own home.
We encourage all qualified candidates to apply. arenaflex is an equal opportunity employer and values diversity in the workplace. We look forward to receiving your application!
Note: This is a full-time position with 8 hours of work per day. The hourly rate is $30/hour, commensurate with experience and qualifications.