Staff Data Engineer - Remote

Overview

Heidi is on a mission to halve the time it takes to deliver world-class care. As a Staff Data Engineer, you will be a key technical leader responsible for the design, implementation, and evolution of our data infrastructure and architecture.

In Short

• Lead the design and implementation of a scalable, secure, and highly available data lakehouse architecture on AWS.
• Architect and build robust, production-grade ELT pipelines leveraging technologies such as S3, Athena, Lake Formation, Trino, and Databricks.
• Own orchestration strategy using tools like Airflow, Databricks Workflows, or Dagster.
• Work closely with Machine Learning Engineers to deliver data platforms optimized for model training, deployment, and monitoring.
• Drive technical decisions on data tooling, architecture, and engineering best practices.
• Embed data privacy, security, and compliance controls aligned with healthcare standards.
• Provide technical leadership and mentorship to engineers.
• Promote a culture of documentation, testing, observability, and operational rigor across all data systems.

Requirements

• A minimum of 5+ years of experience in data engineering or a related field.
• Proven track record of building and scaling production data systems in cloud environments.
• Expertise in designing and implementing robust data pipelines, ETL processes, and data warehouses.
• Experience providing direct data engineering support to Machine Learning teams.

Benefits

• Flexible hybrid working environment, with 3 days in the office.
• Additional paid day off for your birthday and wellness days.
• Special corporate rates at Anytime Fitness.
• A generous personal development budget of $500 per annum.
• Learn from some of the best engineers and creatives.
• Become an owner, with shares (equity) in the company.
• The rare chance to create a global impact.
• Opportunity to fast track your startup career.