Match Group
Senior Data Engineer
$186K–$223K
New York, New York · Hybrid · Senior · Full-time · Posted Oct 18, 2024
- Experience
- 5+ years of professional/industry experience.
About the job
Build and improve Hinge’s data pipelines and analytics warehouse to support reliable reporting, analytics, machine learning, and data-driven decisions.
What you'll do
- Ensure data flows accurately from creation through presentation layers; develop and improve pipelines, data models, and engineering infrastructure.
- Design, build, and maintain the analytics data warehouse and deliver clean, robust datasets for reporting, analytics, and machine learning.
- Translate stakeholder needs into deliverables and participate in the on-call rotation to maintain reliability.
What they ask for
- Proficiency in Python, SQL, DevOps, and databases.
- Experience delivering data products from conception to delivery and working with their supporting infrastructure.
- Experience modeling datasets for different sources and business processes.
Nice to have
- Familiarity with the listed stack, including Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS, GCP, CircleCI, Spark, and Databricks.
Pay
USD 186,000–223,000 per year (base salary)
Tools
Python, SQL, Kubernetes, Docker, Terraform, Kafka, Airflow, dbt
AI focus
Build datasets used for machine learning initiatives; no other AI work is specified.
Model-written summary · the original posting is authoritative