Production Support Engineer

TD Ameritrade
Austin, TX, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$100,006.0 - $115,003.0
Working hours
Regular working hours

Tech stack

Airflow Data Analysis BigQuery Cloud Database Continuous Integration Information Engineering Data Governance Data Integrity Extract Transform Load (ETL) Data Warehousing Database Queries Data Flow Control
+11 more
Github Job Scheduling Python (Programming Language) Reliability Engineering Scripting Cloud Platform System Delivery Pipeline Information Technology Data Analytics Data Pipelines Control M

Job description

As a Production Support Engineer within the Schwab Data organization, you will play a critical role in ensuring the stability and reliability of enterprise data platforms operating at scale in a cloud environment. This opportunity centers on maintaining the operational health of large-scale data pipelines and analytics services, where your ability to quickly diagnose issues, drive root cause resolution, and improve system resilience directly impacts business outcomes and decision-making. You will collaborate closely with data engineering, platform engineering, and business stakeholders to ensure production readiness, optimize operational processes, and continuously improve system performance as data complexity and demand grow.

In this role, you will apply strong analytical thinking and problem-solving skills to monitor and support batch and streaming workloads, proactively identify risks, and enhance observability across the platform. You will contribute to building more efficient, automated, and scalable support processes while strengthening incident response practices and operational discipline. Your work will help ensure data integrity, availability, and trust across the enterprise while developing your expertise in cloud-based data ecosystems and modern data engineering operations.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • 2-3+ years of experience in production support, operations, or reliability engineering within data analytics, data engineering, or data warehouse environments
  • Hands-on experience with cloud-based data platforms and services (e.g., BigQuery, Dataflow, Pub/Sub, Airflow or equivalent)
  • Experience supporting ETL or data pipeline workloads in production environments
  • Strong SQL skills for data analysis, validation, and troubleshooting
  • Working knowledge of Python or scripting languages for automation and operational efficiency
  • Experience with job scheduling and orchestration tools (e.g., Control-M, Cloud Composer, or equivalent)
  • Familiarity with CI/CD tools (e.g., GitHub) and deployment workflows
  • Understanding of monitoring, alerting, and incident management practices in production systems
  • Demonstrated ability to troubleshoot complex issues, perform root cause analysis, and drive resolution in a timely manner, * Experience working in financial services or regulated environments with exposure to data governance and operational controls
  • Experience implementing automation or operational tooling to improve system efficiency and reduce manual intervention
  • Exposure to cloud-based observability, monitoring, and reliability engineering practices at scale
  • Experience collaborating across cross-functional engineering and business teams in a fast-paced environment

Benefits & conditions

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

About the company

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).

Schwab Technology Services enables how clients manage their money by delivering innovative, reliable technology that expands access to investing and financial planning. Within this environment, Schwab’s Google Cloud Data & Analytics ecosystem powers firmwide insights across critical businesses including finance, risk, and brokerage-making data availability, reliability, and performance essential., 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.

Apply for this position

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Apply on www.schwabjobs.com
Prepare application

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