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Senior Software Engineer I, Data Enablement
Etsy
New York•On-site•3-5 Yrs•6 days ago
Job description
Overview
Company Description
Responsibilities
- We embed directly with teams working on complex, high‑impact initiatives such as new personalization models, buyer and seller experiences, or metrics and experimentation frameworks and ensure they can successfully adopt our data and ML platforms end‑to‑end.
- We take ambiguous, cross‑functional problems and help teams turn them into concrete architectures, integration plans, and production‑ready implementations on top of existing platform capabilities.
- We focus on accelerating adoption, reducing integration friction, and improving developer experience for our internal customers.
- We act as a feedback conduit from implementation back into platform teams, surfacing usability gaps, missing primitives, and opportunities for simplification.
- Partner with product engineering, ML and analytics teams to scope new projects that depend on the Data and ML Enablement stack, clarifying requirements and mapping them onto existing capabilities.
- Help teams migrate ad‑hoc or legacy pipelines onto canonical data sources and standardized paved paths, reducing duplication and long‑term maintenance burden across the company.
- Debug and unblock tricky integration issues spanning multiple systems (e.g., events → canonical datasets → feature stores → training data → inference services), collaborating closely with platform owners where needed.
- Document patterns, examples, and “recipes” for successful integrations so future teams can move faster with less direct support.
- Provide structured, actionable feedback to Data and ML Enablement teams on gaps in APIs, tooling, documentation, and paved paths, based on what you see in the field.
- Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
- A consistent track record of working with batch and streaming distributed systems (Spark, Kafka, Airflow) and cloud platforms (Google Cloud, AWS, etc.).
Qualifications
- Strong software engineering skills, with the ability to write production-ready code in Java, Scala, Python, and/or other equivalent languages.
- A strong customer mindset: you enjoy collaborating directly with partner teams, understanding their workflows and constraints, and helping them succeed on top of our platforms.
- You are generous with your time and experience, and can mentor and learn from other engineers.
- You have curiosity about understanding the e-commerce industry and the vast amount of data generated by the different functions of the company.