Machine Learning Ops Data Engineer

Charles Schwab; Phoenix (AZ); On-site; USD 140,000 - 200,000; Full time

Job summary

Charles Schwab is seeking a hands-on technical lead to drive AI/ML projects from development to production on Google Cloud Platform. You will own architecture, implementation, deployment, and operations, collaborating with data scientists and Ops teams in a security-conscious environment.

The role emphasizes end-to-end deployment, coding standards, and reliability, with a strong focus on security, observability, and cost efficiency while mentoring MLOps and data engineers.

Qualifications

• 8+ years in data/software engineering with 2+ years in technical leadership.
• Proven production-grade AI/ML deliveries on GCP or other clouds.
• Experience building and operating scalable batch/streaming pipelines.
• Experience leading design reviews, enforcing standards, mentoring data engineers.
• Demonstrated support of critical systems in production.
• Experience partnering with data scientists/Ops/MLE teams to deliver outcomes.

Responsibilities

• Design and build production-ready AI/ML powered, security related use cases on GCP.
• Lead end-to-end deployment from prototype to production with clear quality gates.
• Understand, document, and lead the resolution of technical debts.
• Implement coding standards, test strategy, data quality checks, alerting mechanisms, and runbooks.
• Ensure platform reliability, security, and cost efficiency.
• Mentor the MLOps and data engineers while remaining hands-on in code and delivery.

Skills

GCP expertise

Python programming

SQL & data modeling

CI/CD & containerization

Cloud security & governance

Observability & SRE

AI/ML lifecycle knowledge

Tools

BigQuery

Vertex AI

GCS

Dataflow

Pub/Sub

Cloud Run

GKE

Composer/Airflow

IAM

Cloud Monitoring/Logging

Docker

Git

Job description

Your opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Hands-on technical lead responsible for taking AI/ML projects from development to production in Google Cloud Platform (GCP). This role owns architecture, implementation, deployment, and operations.

Required Skills

• Expert-level Google Cloud experience, especially services used for AI/ML use cases (e.g., BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run/GKE, Composer/Airflow, IAM, Cloud Monitoring/Logging)
• Expert Python for production-grade data and backend engineering
• Strong SQL and data modeling for analytics, scalability, and operational workloads
• Strong CI/CD and containerization skills (Docker, Git workflows, automated testing, release pipelines)
• Solid cloud security and governance practices (IAM, secrets, least privilege, auditability)
• Strong observability and reliability engineering skills (monitoring, alerting, incident response, SLAs/SLOs)
• Fundamental understanding of AI/ML lifecycle/model development needed to productionize AI/ML systems (training/serving integration, model versioning, pipeline monitoring support)

What you have

Required Work Experience

• 8+ years in data/software engineering, including 2+ years in technical leadership
• Proven track record delivering production grade AI/ML use cases on GCP or other cloud providers
• Experience building and operating scalable batch/streaming pipelines
• Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
• Demonstrated support of critical systems in production
• Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes

Core Responsibilities

• Design and build production-ready AI/ML powered, security related use cases on GCP
• Lead end-to-end deployment from prototype to production with clear quality gates
• Understand, document, and lead the resolution of technical debts
• Implement coding standards, test strategy, data quality checks, alerting mechanisms, and operational runbooks
• Ensure platform reliability, security, and cost efficiency
• Mentor the MLOps and data engineers while remaining hands-on in code and delivery

What's in it for you

At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration - so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance