Los Angeles, CA, United States
July 23, 2024
Apply NowJob description
AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.
We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. Together we keep the world cheering.
The Role
AXS is seeking a Senior Data Engineer to join our global data engineering team. The ideal candidate enjoys and thrives in working with a variety of data engineering and analytics tools, systems and architectures while working with our product, leadership, and marketing teams across three continents to build high quality, scalable batch and real time data pipelines integrated with our products.
What You’ll Do
What’s in it for You?
To learn more about our culture and values, visit:
More About AEG
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.
Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.
We’re an equal opportunity employer and never discriminate based on gender, age, race, religion, color, national origin, sexual orientation, marital status, veteran status, or disability status. We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't check every box in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.
We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. Together we keep the world cheering.
The Role
AXS is seeking a Senior Data Engineer to join our global data engineering team. The ideal candidate enjoys and thrives in working with a variety of data engineering and analytics tools, systems and architectures while working with our product, leadership, and marketing teams across three continents to build high quality, scalable batch and real time data pipelines integrated with our products.
What You’ll Do
- Design, implement and maintain modern/efficient ETL/ELT pipelines.
- Support existing processes and frameworks, including Agile methodologies
- Define data models that fulfill business requirements
- Process, cleanse, and verify the integrity of data used for analysis
- Prepare development estimates and design documents.
- Successfully adopt the best practice and industry standards in data engineering and analytics fields
- Coach more junior data engineering team members
- 4-6 years of data engineering experience
- 3+ years’ experience with Python and writing SQL
- Experience with Streaming data technologies such as EventHub, Kinesis, Kafka
- Experience with AWS, Snowflake, Apache Airflow, Docker, DBT, and Python
- Experience in building both relational and dimensional data modeling.
- Experience and understanding of C# for memory-to-memory realtime data pipeline a plus
- Excellent analytical and communication skills to share findings in an understandable and actionable manner
- BS. or M.S. in Computer Science or other related fields preferred
- Proven ability to work independently in an Agile environment
- Experience working with Agile Scrum and Sprints.
- Experience mentoring junior engineers or working with consultants
What’s in it for You?
- The opportunity to make a real impact.
- Extraordinary People – we’re not kidding!
- Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
- Opportunities for learning and leveling up through training and education reimbursement.
- Stage 1: 20-min Recruiter Video interview
- Stage 2: Hiring Manager Video Interview
- Stage 3: Four 30-min Technical Video Interviews
- Stage 4: 30-min Executive Video Interview
To learn more about our culture and values, visit:
More About AEG
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.
Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.
We’re an equal opportunity employer and never discriminate based on gender, age, race, religion, color, national origin, sexual orientation, marital status, veteran status, or disability status. We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't check every box in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.
