Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization.
Responsible for building and operating scalable, secure, and reliable data pipelines for AI/ML systems.
Own the end‑to‑end data lifecycle from collection to centralized data factory.
Review and design data ingestion flows, governance policies, and cloud infrastructure.
Implement improvements to core data ingestion, validation, and processing pipelines.
Deploy scalable data pipelines with AWS components and automate validation workflows.
Own lifecycle of mission‑critical data pipelines and architect next‑generation systems.
Collaborate with AI/ML engineers, scientists, and cloud teams.

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field.
2-3+ years of experience building production data pipelines and data platforms that support AI/ML models.
Strong proficiency in Python, C++ and distributed data processing frameworks.
Hands‑on experience with AWS services including S3, EC2, SageMaker, and Glue.
Experience designing data systems that support large‑scale ML training and experimentation.
Knowledge of data governance, access control, and lifecycle management.
Experience collaborating with ML, data science, operations, and cloud teams.

Equity as part of your total compensation package
Medical, dental, and vision insurance
Health Savings Account (HSA)
A 401(k) plan (and 2% company match)
Flexible Paid Time Off (PTO)
take the time you need to recharge, with manager approval and business needs in mind
Quarterly stipend for perks and benefits that matter most to you
Tuition reimbursement to support your ongoing learning and development
Subscription to Calm

Senior Data Infrastructure Engineer

Key skills