Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and construct robust data pipelines that efficiently process substantial volumes of customer warehouse data.

• Develop and manage the infrastructure for machine learning operations related to feature pipelines, training tasks, deployment, and monitoring.

• Take ownership of data quality and modeling to ensure the accuracy and reliability of model and customer-facing feature data.

• Utilize AI coding tools by crafting clear specifications and context, executing agents across parallel workstreams, and critically evaluating the output.

• Create collaborative AI workflows, implement guardrails, and establish review standards.

• Assess new tools and models, sharing valuable insights with the team.

• Compose architecture documentation that outlines systems, trade-offs, and rationale behind decisions.

• Grasp customer requirements and identify what is worthwhile to develop.

• Provide mentorship to engineers, particularly regarding the effective utilization of AI coding tools.

⛳️ Requirements

• Over 5 years of experience in data engineering or software engineering, including tenure at an early-stage startup (Seed through Series B).

• Extensive experience in building and scaling production data pipelines, both batch and streaming, particularly using Dagster, Airflow, or Temporal.

• Practical experience in machine learning operations: deploying, monitoring, and retraining models in a production environment.

• Strong expertise in data modeling and architecture, with a proven history of maintaining high data quality as volume increases.

• Significant experience with AI coding agents, including examples of how to expand their usage across a team.

• Sound judgment to identify AI output that is incorrect, incomplete, or poses risks, particularly concerning customer data.

• Demonstrated proficiency in SQL and Python.

• Familiarity with cloud platforms, workflow orchestration, containers, and automated deployment pipelines.

• Excellent and collaborative communication skills, especially in written form.

• Resilience and a positive mindset when facing challenges or changes in plans.

• Must reside in the United States and have authorization to work there.

• Visa support is not available.

🏝️ Benefits

• Equity.

• Medical, dental, and vision benefits.

• 401(k) retirement program.

• Home office stipend.

• Paid time off and paid parental leave.

• Access to the latest AI tools, along with the freedom to explore new ones.