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Senior Data Engineer I

AXS

Los Angeles (CA)

On-site

USD 130,000 - 149,000

Full time

30+ days ago

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Job summary

A leading ticketing and live entertainment company is looking for a Sr. Data Engineer I to design and maintain efficient data pipelines. The ideal candidate has 4-6 years of data engineering experience, strong Python and SQL skills, and familiarity with tools like AWS and Apache Airflow. This role collaborates with various teams to ensure high-quality data solutions and offers a competitive salary range of $130,000 - $148,500 with comprehensive benefits.

Benefits

Comprehensive medical, dental, and vision benefits
401k with employer match
Flexible spending and health savings accounts
Wellness programs
Learning opportunities
Volunteer opportunities

Qualifications

  • 4-6 years in a data engineering role.
  • 3+ years Python and SQL experience.
  • Strong analytical and communication skills.

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.

Skills

Python
SQL
Data modeling
Data pipeline design
Collaboration skills
Agile methodologies

Education

BA/BS Degree or MS in Computer Science or related field

Tools

AWS
Snowflake
Apache Airflow
DBT
Kubernetes
EventHub
Kinesis
Redis
SQS
Kafka
Job description

Join to apply for the Sr. Data Engineer I role at AXS

Overview

AXS connects fans with the artists and teams they love. The Sr. Data Engineer works with data engineering and analytics tools, systems and architectures while collaborating with product, leadership, and marketing teams to build high quality, scalable batch and real-time data pipelines integrated with our products.

What Will You Do?
  • 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.
  • Adopt best practices and industry standards in data engineering and analytics.
What Will You Bring?
  • BA/BS Degree (4-year) or MS in Computer Science or related field preferred.
  • 4-6 years in a data engineering role.
  • 3+ years Python and SQL experience.
  • Experience with AWS, Snowflake, SQL, Apache Airflow, DBT and Kubernetes.
  • Experience with streaming data technologies (EventHub, Kinesis, Redis, SQS, Kafka).
  • Strong familiarity with Agile methodologies (CI/CD, sprints, frequent deployments).
  • Experience in relational and dimensional data modeling.
  • Strong analytical and communication skills; ability to share findings clearly.
  • Proven ability to work with multiple partners and cross-functional teams; strong teamwork and collaboration.
Compensation & Benefits
  • Pay Scale: $130,000 - $148,500
  • Bonus: Eligible for bonus under current plan requirements.
  • Benefits: Comprehensive package including medical, dental, vision, holidays, vacation, sick time, basic life insurance, voluntary life insurance, parental leave, 401k with employer match, flexible spending and health savings accounts, wellness programs.
  • Visa: Employer does not offer work visa sponsorship for this position.
What’s in it for You?
  • Extraordinary People; Meaningful Mission; Development and Learning opportunities.
  • Community & Belonging with ERGs, volunteer opportunities, and programs for professional growth.
About AXS & Equal Opportunity

AXS, a subsidiary of AEG, operates globally in live entertainment and ticketing. We are dedicated to diversity and inclusion and are an equal opportunity employer. We encourage you to apply even if you cannot check every box.

AEG reserves the right to modify job descriptions at any time during employment; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected status.

Location notes: Santa Monica, CA; Los Angeles, CA; Glendale, CA; Culver City, CA; Long Beach, CA; other locations may apply.

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