Backend Engineer, Data

Responsibilities

• Design, develop, and own data pipelines, models, and products that power Product, Data Science, and go-to-market functions.
• Develop subject matter expertise and manage service-level agreements for data pipelines and full-stack web applications supporting critical stakeholders.
• Build and refine data foundations, including infrastructure, pipelines, and tools, using Scala, Spark, and Airflow.
• Leverage LLMs and agents at scale to produce high-quality data for ambiguous problems.
• Refine data marts that help the go-to-market organization forecast business performance and measure attainment toward targets.
• Build data services that track key product metrics and measure the impact of field-team strategies.

Requirements

• 6+ years of experience in software engineering, focused on building and maintaining data services or data-intensive applications.
• Strong engineering background and interest in data.
• Experience writing and debugging data pipelines using a distributed data framework such as Spark, Hadoop, or Pig.
• Ability to investigate data inconsistencies and resolve deep-rooted data quality issues.
• Knowledge of a backend development language such as Scala, Java, or Go.
• Strong SQL experience.
• Ability to communicate cross-functionally, derive requirements, and architect shared datasets.

Nice-to-haves

• Experience creating and maintaining data marts for business reporting.
• Experience working with Product or go-to-market teams, including Sales and Marketing.