Sr. Data Engineer I

About Axs

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.

Job Summary

The Sr. Data Engineer works with a variety of data engineering and analytics tools, systems and architectures while working with our product, leadership, and marketing teams to build high quality, scalable batch and real time data pipelines integrated with our products.

Key Responsibilities

• Design, implement and maintain modern/efficient, scalable ETL/ELT data 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.

Requirements

• BA/BS Degree (4-year) or MS Degree in Computer Science or other related fields preferred.
• 4-6 years in a data engineering role.
• 3+ years Python and writing SQL.
• Experience with AWS, Snowflake, SQL, Kafka, Apache Airflow, DBT, and Kubernetes.
• Strong Python skills with ability to write ETL/ELT and automation scripts using python.
• Experience with Streaming data technologies such as EventHub, Kinesis, Redis, SQS, Kafka.
• Strong familiarity with Agile methodologies (CI/CD, sprints, frequent deployments etc.).
• Experience in building both relational and dimensional data modeling.
• Strong analytical and communication skills to share findings in an understandable and actionable manner.
• Proven ability and willingness to work with multiple partners and cross-functional teams.
• Strong teamwork and collaboration, willingness to compromise, and listen with empathy.

Benefits

• Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

*Employer does not offer work visa sponsorship for this position.