General Application – Data & AI/ML Engineering

System Inc.

Data & AI/ML Engineer at System designing data pipelines and infrastructure for healthcare data products. Ensuring reliability and performance while partnering with Research and Data Science teams.

Posted 6/4/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

data pipelinesETLELTML modelsfeature storesvector databasesPythonSQLSparkdbt

Soft Skills

collaborationcommunicationproblem-solvingdocumentation

Tools & Technologies

AWSGCPAzureAirflowinfrastructure as code

Certifications & Qualifications

Bachelor's degreeMaster's degree

Industry Keywords

data engineeringML engineeringcloud data infrastructureML lifecycle managementmodel versioning

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Design and maintain scalable data pipelines and ETL/ELT workflows
Build and operate infrastructure for training, deploying, and serving ML models in production
Develop feature stores, vector databases, and other AI-enabling data infrastructure
Ensure reliability, low latency, and high availability of data systems
Partner closely with Research and Data Science to move findings into production
Implement monitoring and observability for data and model health
Contribute to infrastructure as code practices and documentation on cloud platforms

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
4+ years of experience in data engineering, ML engineering, or a related discipline
Strong proficiency in Python and SQL; experience with Spark, dbt, or Airflow a plus
Experience building and maintaining cloud data infrastructure (AWS, GCP, or Azure)
Understanding of ML lifecycle management, model versioning, and deployment patterns
Comfort with systems design principles applied to data-intensive architectures

Benefits

Comp & perks

We believe in the power of autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data.
We believe in cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development.
System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users.