Data Enablement Engineer: Platform Integrations & ML Pipelines

Etsy, Inc.; New York (NY); Hybrid; USD 164,000 - 193,000; Full time

Benefits offered by this job

Equity package

Annual performance bonus

Comprehensive benefits package

Job summary

Etsy, Inc. is looking for a Data Engineer to join their Data & ML Enablement team in New York. This role involves transforming raw data into reliable insights while collaborating with various product engineering teams. Key responsibilities include integrating data flows and supporting teams with their data transformation needs.

The ideal candidate will have strong engineering skills and experience with distributed systems, such as Spark and Kafka. Etsy offers a competitive salary with additional equity and performance bonuses.

Qualifications

• Proven experience with batch and streaming systems like Spark and Kafka.
• Understanding of machine learning systems and cloud platforms.
• Strong software engineering skills in Java, Scala, Python.

Responsibilities

• Partner with product teams to scope new projects.
• Migrate old pipelines to standardized paths.
• Debug integration issues across systems.
• Document successful integration patterns.
• Provide feedback on API gaps and tooling.

Skills

Batch and streaming distributed systems

Machine learning systems and infrastructure

Production-ready code in Java, Scala, Python

Strong customer mindset

Collaboration skills

Tools

Spark

Kafka

Airflow

Google Cloud

AWS

Job description

Etsy, Inc. is looking for a Data Engineer to join their Data & ML Enablement team in New York. This role involves transforming raw data into reliable insights while collaborating with various product engineering teams. Key responsibilities include integrating data flows and supporting teams with their data transformation needs.

The ideal candidate will have strong engineering skills and experience with distributed systems, such as Spark and Kafka. Etsy offers a competitive salary with additional equity and performance bonuses.