Software Engineer, Data Engineer II

Overview

Software Engineer, Data role focused on scaling data reliability, data infrastructure, automation, and tools for growing business needs.

What you'll do

• Own critical data systems supporting multiple products and teams.
• Develop, implement, and enforce best practices for data infrastructure and automation.
• Design, develop, and implement large-scale, high-volume data models and pipelines for Data Lake and Data Warehouse.
• Improve reliability and scalability of ingestion, data processing, ETLs, and reporting tools.
• Manage a portfolio of data products delivering high-quality, trustworthy data.
• Onboard and support other engineers joining the team.

What you'll need

• 3+ years of professional experience.
• 3+ years working in data platform and data engineering or a similar role.
• Proficiency using AI coding tools (e.g., Claude Code, Codex, Cursor) across the software development lifecycle.
• Programming proficiency in Python, Kotlin, or Scala.
• 3+ years experience with ETL orchestration and workflow management tools like Airflow.
• Expertise in database fundamentals, SQL, data reliability practices, and distributed computing.
• 3+ years experience with distributed data ecosystem (Spark, Presto) and streaming technologies (Kafka, Flink, Spark Streaming).

Details

• Must be located near one of the engineering hubs (as indicated in the posting).
• NYC or Remote jobs associated with an office in NYC only.