Job Description

This is a remote position.

We are seeking a Data Infrastructure Engineer to design, build, and optimize our data systems, supporting the needs of our scientists, developers, and data teams. In this role, you will take ownership of our data pipelines, drive automation, and enhance our infrastructure to enable scalable, secure, and efficient data access.

Role Explanation: (please watch before applying) 

Key Responsibilities

• Collaborate Across Teams: Work closely with scientists and developers to design, build, and maintain scalable data stores ( S3, EFS, Box ) and relational databases.
  
• Set the Data Infrastructure Vision: Define and execute the strategy for data infrastructure engineering, leading both independent and team-driven projects.
  
• Optimize Data Pipelines: Develop and maintain efficient data pipelines to facilitate seamless access for machine learning and biostatistics teams .
  
• Infrastructure & Tooling: Build core infrastructure, tooling, and software development processes in Python to support data operations.
  
• Platform Engineering: Contribute to various platform engineering projects, from short-term solutions to long-term system development.
  

Required Experience & Skills

• Proven experience ensuring data governance and security best practices when handling sensitive and confidential data .
  
• Hands-on experience managing AWS relational databases such as PostgreSQL, MySQL , and similar systems.
  
• Expertise in managing S3 buckets , including lifecycle management, IAM policies, and permissions at scale.
  
• Experience designing and deploying Infrastructure-as-Code (IaC) solutions using Terraform .
  
• Some familiarity with CI/CD pipelines, containers, and Kubernetes (bonus points for AWS ECS experience).
  
• 1-3 years of experience in data infrastructure engineering or related fields.
  

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