AI/ML Ops and Data Engineer
Southlake, TX; Austin, TX; Phoenix, AZ
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Strong SQL and data modeling for analytics, scalability, and operational workloads
- 8+ years in data/software engineering, including 2+ years in technical leadership
- Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes
- 401(k) with company match and Employee stock purchase plan
- Experience building and operating scalable batch/streaming pipelines
- Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
Qualification wording
Strong SQL and data modeling for analytics, scalability, and operational workloads
8+ years in data/software engineering, including 2+ years in technical leadership
Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes
401(k) with company match and Employee stock purchase plan
Experience building and operating scalable batch/streaming pipelines
Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
Tools in this posting
- Python
- SQL
- BigQuery
- Docker
- Google Cloud (GCP)
- Google Cloud Storage
- Airflow
Source — Tool mentions in context
- 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
- 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)
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)
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
- 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 28, 2026 · 49d ago
- Recorded sightings
- 169
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on www.schwabjobs.com. The employer’s form will show what is required.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Southlake, TX; Austin, TX; Phoenix, AZ
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.
More source context
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:
- Work authorization
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