Data Engineer
Core
Maintain data infrastructure health, resolve pipeline issues, and support data consumers across the company.
Role type
Senior Data Support Engineer
Builds
Reliable, timely, and consumable data pipelines and infrastructure
Domain
Sports betting and gaming industry, data engineering
Required skills
Advanced SQL, Python, Cloud data platforms (AWS, Databricks, Spark), ETL/ELT, Data warehousing, Dimensional modeling, Batch/Real-time ingestion (Kafka/Kinesis), Orchestration (Airflow), Monitoring (Datadog, Grafana), Incident management, Root cause analysis
Preferred skills
Data streaming patterns (dbt), CI/CD (BuildKite, GitHub Actions), Data visualization (Tableau, Looker), Data quality metrics, Data Science/ML exposure
Technologies
AWS, Databricks, Spark, Kafka, Kinesis, Airflow, Datadog, DataFold, Monte Carlo, Prometheus, Grafana, dbt, BuildKite, GitHub Actions, Tableau, Looker
Responsibilities
Provide on-call technical assistance for query optimization and pipeline failures; Investigate and resolve data quality issues; Design and implement batch and real-time data pipelines; Lead initiatives to enhance data operations and automate manual tasks; Create and maintain technical support documentation; Drive operational best practices for incident and problem management; Administer account access to technology tools
Seniority
Senior, hands-on IC
