Senior Data Engineer

Role overview

Build and scale the data pipelines and machine learning operations that power a platform for optimizing cloud data warehouse workloads. You’ll work with product and machine learning engineers to turn customer data into reliable models and features, while helping an engineering team make effective, careful use of AI coding tools.

Responsibilities

- Design and operate batch and streaming pipelines that handle large volumes of customer data. - Build the infrastructure that moves models from training into production, including feature pipelines, training jobs, deployment, monitoring, and retraining. - Own data modeling and quality so analytics, models, and customer-facing features rely on trustworthy data. - Write clear technical specifications, review AI-generated work critically, and develop shared AI workflows and safeguards for the team. - Document architecture and tradeoffs, evaluate tools, and collaborate with product and machine learning colleagues on what to build. - Mentor engineers, including on using AI coding tools effectively.

Requirements

- At least five years of data or software engineering experience, including experience at an early-stage startup. - Strong experience designing and scaling production data pipelines, both batch and streaming, and with orchestration tools such as Dagster, Airflow, or Temporal. - Hands-on experience deploying, monitoring, and retraining production machine learning models. - Strong data modeling, architecture, and data quality skills, with SQL and Python expertise. - Experience with cloud platforms, workflow orchestration, containers, and automated deployment pipelines. - Practical experience with AI coding agents, including reviewing their output and helping a team use them responsibly; clear written communication and sound engineering judgment.

Nice to have

- Experience with cloud data platforms such as Snowflake or Databricks; applied machine learning in forecasting, regression, anomaly detection, or reinforcement learning; or query optimization and workload analysis. - Experience building AI agents, agent tooling, or Model Context Protocol servers; working knowledge of Java, Go, or JavaScript.

Benefits and work setup

- Fully remote for candidates authorized to work in the United States; core hours align with US Eastern Time. Visa sponsorship is not available. - Base salary of $170,000–$200,000 for US-based candidates, plus equity. - Full-time benefits include medical, dental, and vision coverage, a 401(k), home office stipend, paid time off, and paid parental leave.