Sr. Data Engineer I at AXS

Los Angeles, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

EntertainmentIndustries

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, Apache Airflow, DBT and Kubernetes
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

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

Skills

Key technologies and capabilities for this role

PythonSQLAWSSnowflakeApache AirflowDBTKubernetesKafkaKinesisEventHubRedisSQS

Questions & Answers

Common questions about this position

What is the salary range for the Sr. Data Engineer I position?

The pay scale is $130,000 - $148,500.

Is this position eligible for a bonus?

Yes, this position is eligible for a bonus under the current bonus plan requirements.

What are the required skills and experience for this role?

Candidates need 4-6 years in a data engineering role, 3+ years with Python and SQL, experience with AWS, Snowflake, Apache Airflow, DBT, Kubernetes, and streaming technologies like Kafka, plus strong Agile knowledge and data modeling skills.

What benefits are offered for this full-time position?

The comprehensive benefits package 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 3% employer match, flexible spending and health savings accounts, and wellness offerings.

What does the company culture emphasize for this role?

The company values teamwork, collaboration, working with cross-functional teams, strong communication skills, and partnering with extraordinary people in a passionate environment focused on improving fan experiences.

AXS

Global ticketing platform for events and analytics

About AXS

AXS is a global ticketing platform that utilizes integrated technology and analytics to power primary and resale marketplaces, offering best-in-class ticketing, marketing, and data technology for various events, from music clubs to major sporting events.

Los Angeles, CaliforniaHeadquarters

2011Year Founded

VENTURE_UNKNOWNCompany Stage

Consulting, Consumer Software, AI & Machine Learning, Consumer GoodsIndustries

201-500Employees

Benefits

Professional Development Budget

Risks

Increased competition from emerging ticketing platforms could erode AXS's market share.

Consumer backlash against high service fees may lead to regulatory scrutiny.

Economic downturns may reduce consumer spending on live events, affecting AXS's revenue.

Differentiation

AXS integrates AI-driven analytics for enhanced ticket sales forecasting and customer insights.

AXS adopts blockchain technology for secure and transparent ticket transactions.

AXS expands virtual and hybrid event ticketing solutions for remote audiences.

Upsides

AXS partners with Lyft to offer transportation options at live events.

AXS launches Apple Wallet tickets at Red Rocks Amphitheatre, enhancing user convenience.

AXS acquires majority stake in WRSTBND to boost its global platform.

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